Model Risk AVP at Barclays

Senior

Model Risk

Model Validation

Machine Learning

+5 more

Job Description

Purpose of the role

To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews.

Accountabilities

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
Assessment of any compensating controls used to mitigate Model risk.
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Model Risk AVP where you will be responsible for the validations of Finance Stress Testing models used for the bank’s internal capital assessment - with a key focus on Balance, Revenues and Behavioural profile projections and a subset of non-traded market risk models on the banking book (IRRBB, Fair Valuation, Valuation in Resolution) used for day-to-day running of the bank as well as part of different model frameworks (e.g. ICAAP, Internal Stress Testing/EBA/BOE/CCAR Stress Testing, Value and Earnings metrics for IRRBB and liquidity risk models). Your role will combine qualitative, quantitative and managerial skills to work with the team to propose approval decisions, identify key issues and viable remediation actions and communicate results at different forums with exposure to senior stakeholders. Your role sits within a numerate team where knowledge sharing is highly promoted.

Some Key Accountabilities:

Detailed knowledge and understanding of internal Policies and Standards defining and supporting the assessment of Model risk.
Validation and lead validation of models looking into data quality, assumptions and limitations, model design and conceptual soundness, implementation, performance results, benchmarking, compliance with regulations.
Build challenger models (if needed) to support the review and challenge during the validation process for all new and existing models.
Underlying work will require detailed examination of data, documents, and coding knowledge.
Ensure production of high-quality model validation reports and presentations to satisfy relevant model governance requirements, with a particular focus on noting limitations, weaknesses, and assumptions.
Reports will also contain qualitative and conceptual challenges to models as appropriate.
You must be able to assess materiality of issues and manage the model risk and escalation appropriately and independently.
Create and maintain the correct information in the Group model database for the set of validated models and collaborate with the Model Governance Controls team as required to produce accurate reporting on models status.
Collaborate with the Model Governance team to review MIT (Model Identification Tool) outcomes and NAPA (New and Amended Product Approval) proposals impacting models in scope of the role.

To be successful in this role you should have experience with:

Highly quantitative with excellent working knowledge of Financial Mathematics and Econometrics or Statistics; a degree in quantitative subject (e.g. Math, Engineering, Statistics, Economics with master’s degree).
Knowledge required:
- Strong in timeseries concepts and models, such as ARIMA, VAR, Cointegration and Error Correction models.
- Understanding of risk metrics like Value-at-risk (VaR), both historical and monte-carlo simulation type for multivariate models.
- Understanding of pricing of financial products: eg bond pricing, swaps, options, greeks, etc.
Working expertise in non-Traded Market Risk models/validation with a focus on market risk elements of IRRBB, liquidity and FVOCI models. The team also works in validations on pension risk, hedge accounting and PVA type of models, so an understanding of these models would be a bonus.
Experience in data quality assessment, model specification, model selection, model testing and/or validation roles.
Coding experience using R/Python or equivalent language/software.
Highly organised in terms of documentation and follow through. Literate with excellent writing, reviewing/editing and presentation skills.
Good communication and influencing skills.
Self-motivated team player with a strong sense of ownership, able to identify existing gaps and proposing continuous improvements.

Some other highly valuable skills include:

Good knowledge of at least some of the applicable UK, European and US regulations (ICAAP IRRBB, ILAAP Liquidity, hedge accounting).
Knowledge of the Banking Book, its businesses and products.
A PhD in a quantitative subject (e.g. Math, Engineering, Statistics or Economics)

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Location: London

Requirements

Validate and approve models for specific usages
Conduct annual reviews of models
Assess model risk and limitations
Design framework and methodology to measure model risk
Collaborate with other functions and business divisions
Lead a team performing complex tasks
Set objectives and coach employees
Demonstrate leadership behaviours to create an environment for colleagues to thrive

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours
Gym Membership
Life Insurance

Skills

Model Risk Model Validation Machine Learning Data Science Risk Management Model Governance Model Development Model Deployment

Job Description

Purpose of the role

To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews.

Accountabilities

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
Assessment of any compensating controls used to mitigate Model risk.
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

Some Key Accountabilities:

Detailed knowledge and understanding of internal Policies and Standards defining and supporting the assessment of Model risk.
Validation and lead validation of models looking into data quality, assumptions and limitations, model design and conceptual soundness, implementation, performance results, benchmarking, compliance with regulations.
Build challenger models (if needed) to support the review and challenge during the validation process for all new and existing models.
Underlying work will require detailed examination of data, documents, and coding knowledge.
Ensure production of high-quality model validation reports and presentations to satisfy relevant model governance requirements, with a particular focus on noting limitations, weaknesses, and assumptions.
Reports will also contain qualitative and conceptual challenges to models as appropriate.
You must be able to assess materiality of issues and manage the model risk and escalation appropriately and independently.
Create and maintain the correct information in the Group model database for the set of validated models and collaborate with the Model Governance Controls team as required to produce accurate reporting on models status.
Collaborate with the Model Governance team to review MIT (Model Identification Tool) outcomes and NAPA (New and Amended Product Approval) proposals impacting models in scope of the role.

To be successful in this role you should have experience with:

Highly quantitative with excellent working knowledge of Financial Mathematics and Econometrics or Statistics; a degree in quantitative subject (e.g. Math, Engineering, Statistics, Economics with master’s degree).
Knowledge required:
- Strong in timeseries concepts and models, such as ARIMA, VAR, Cointegration and Error Correction models.
- Understanding of risk metrics like Value-at-risk (VaR), both historical and monte-carlo simulation type for multivariate models.
- Understanding of pricing of financial products: eg bond pricing, swaps, options, greeks, etc.
Working expertise in non-Traded Market Risk models/validation with a focus on market risk elements of IRRBB, liquidity and FVOCI models. The team also works in validations on pension risk, hedge accounting and PVA type of models, so an understanding of these models would be a bonus.
Experience in data quality assessment, model specification, model selection, model testing and/or validation roles.
Coding experience using R/Python or equivalent language/software.
Highly organised in terms of documentation and follow through. Literate with excellent writing, reviewing/editing and presentation skills.
Good communication and influencing skills.
Self-motivated team player with a strong sense of ownership, able to identify existing gaps and proposing continuous improvements.

Some other highly valuable skills include:

Good knowledge of at least some of the applicable UK, European and US regulations (ICAAP IRRBB, ILAAP Liquidity, hedge accounting).
Knowledge of the Banking Book, its businesses and products.
A PhD in a quantitative subject (e.g. Math, Engineering, Statistics or Economics)

Location: London

Requirements

Validate and approve models for specific usages
Conduct annual reviews of models
Assess model risk and limitations
Design framework and methodology to measure model risk
Collaborate with other functions and business divisions
Lead a team performing complex tasks
Set objectives and coach employees
Demonstrate leadership behaviours to create an environment for colleagues to thrive

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours
Gym Membership
Life Insurance

Skills

Model Risk

Model Validation

Machine Learning

Data Science

Risk Management

Model Governance

Model Development

Model Deployment

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Barclays today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 2 months ago

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Senior Manager - Liquidity and Finance Model Validation

BMO

Full Time

CAD 94.6k - CAD 176k

1 day ago

Canada

Worldwide

Senior

Finance

Model Validation

Risk Management

+3 more

Job Description

Application Deadline:

04/06/2026

Address:

100 King Street West

Job Family Group:

Audit, Risk & Compliance

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
Ensures alignment between values and behaviour that fosters diversity and inclusion.
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
Attracts, retains, and enables the career development of top talent.
Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
Provides strategic input into business decisions as a trusted advisor.
Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
Acts as a subject matter expert on relevant regulations and policies.
May network with industry contacts to gain competitive insights and best practices.
Interprets new regulations and assesses impacts to the program / portfolio validation framework.
Influences and negotiates to achieve business objectives.
Identifies emerging issues and trends to inform decision-making.
Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
Measures the effectiveness of validation and monitoring framework; recommends changes as required.
Conducts independent analysis and assessment to resolve strategic issues.
Acts as the prime subject matter expert for internal/external stakeholders.
Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
Ensures alignment between stakeholders.
Designs and produces regular and ad-hoc reports, and dashboards.
Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
Leads the research and development for validation of new types of models.
Leads and integrates the monitoring, measurement & reporting of the status of the model validation program / portfolio to internal & external stakeholders.
Provides input into the planning and implementation of ongoing operational programs in support of the model vetting framework and portfolio.
Leads in the design, implementation and management of core business/group processes.
Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
Builds effective relationships with internal/external stakeholders.
Ensures alignment between stakeholders.
Monitors and tracks performance; addresses any issues.
Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
Implements changes in response to shifting trends.
Broader work or accountabilities may be assigned as needed.
Qualifications:
Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
In-depth / expert knowledge and understanding of model validation, model risk management practices.
In-depth / expert knowledge of regulatory requirements.
In-depth / expert knowledge & experience with risk policy frameworks; quality control / testing frameworks.
Seasoned professional with a combination of education, experience and industry knowledge.
Verbal & written communication skills - In-depth / Expert.
Analytical and problem solving skills - In-depth / Expert.
Influence skills - In-depth / Expert.
Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
Able to manage ambiguity.
Data driven decision making - In-depth / Expert.

Salary:

$94,600.00 - $176,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Requirements

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio.
Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks.
Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
Ensures alignment between values and behaviour that fosters diversity and inclusion.

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Retirement Plan

Skills

Finance Model Validation Risk Management API Liquidity Finance Model

AI Risk Co-ordinator

Experian

Full Time

$80,000 - $140,000*

2 days ago

Worldwide

Find out what its like to work for Experian by clicking here

Mid

Data Analysis

Risk Assessment

Automation

+2 more

Job Description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

At Experian, risk and control management is critical to protecting our customers, data and operations. This role is central to how we modernise risk oversight, shifting from manual processes to automated, data‑driven and AI‑enabled approaches that strengthen operational resilience, information security and compliance.

We're looking for someone who not only understands risk and controls, but is curious about how technology, automation and AI can improve how risk is managed.

Work that matters – What you'll do

Support technology‑enabled risk and control activities across the UK & Ireland
Analyse risk and control data to identify trends, latest risks and control weaknesses
Help implement automation and control to reduce manual effort
Work with Risk, Compliance and Technology teams to embed risk requirements into systems, workflows and controls
Use AI‑enabled tools to enhance insight, root‑cause analysis and oversight quality
Support governance through workflow‑based approvals, dashboards and automated reporting
Be a contact for colleagues looking for guidance on risk and control AI and process automation

Qualifications

What you'll need to bring to the role

Skills to review and analyse data to interrogate and identify trends
A natural curiosity about AI and automation, including how people apply tools used in everyday life to improve risk and control activities.
Confidence working with data, systems and digital tools
A pro‑active and autonomous approach, taking ownership and driving improvements
Confidence to engage with a range of partners
Empower our people to challenge traditional ways of working.

More about you

Curious and motivated to improve how things are done
Pro‑active and comfortable operating autonomously
Interested in how AI and automation can enhance risk and control environments
Judgement to balance innovation with governance awareness
Collaborative across teams within multiple disciplines
Excel (can maintain complex spreadsheets) skills a knowledge of Tableau and Power BI would be a huge benefit

Additional Information

Hybrid - 40% office-based working (ideally based out of our Nottingham office)
Great compensation package and discretionary bonus plan
Core benefits include pension, BUPA healthcare and more
25 days annual leave plus bank holidays

Internal Grade: EB10/F

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-RN1 #LI-Hybrid

Experian Careers - Creating a better tomorrow together

Employee Status: Regular

Role Type: Hybrid

Department: Legal & Compliance

Schedule: Full Time

Requirements

Support technology-enabled risk and control activities
Analyse risk and control data to identify trends
Implement automation and control to reduce manual effort
Work with Risk, Compliance and Technology teams
Embed risk requirements into systems, workflows and controls
Use AI-enabled tools to enhance insight
Support governance through workflow-based approvals
Be a contact for colleagues looking for guidance on risk and control AI and process automation

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Data Analysis Risk Assessment Automation AI/ML Excel

AI safety & security controls/Associate Director, Software Engineering Specialist

HSBC

Full Time

$120,000 - $200,000*

2 days ago

Worldwide

Senior

Python

Django

Kubernetes

+5 more

Job Description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Key Responsibilities:

Lead design, implementation, and scaling of enterprise AI safety & security guardrail services (LLM + agent ecosystems). Combine deep AI safety engineering with high-performance Python backend (FastAPI/Django), container/Kubernetes operations, and cross‑functional stakeholder alignment (Cybersecurity, Model Risk Management, Privacy, Compliance). Drive vendor collaboration and internal architecture strategy for resilient, auditable, low-latency guardrail enforcement.
Own technical architecture for multi-layer guardrails: request pre-processing, model mediation, post-output validation, agent step auditing.
Design/extend services for: jailbreak & prompt/indirect injection detection, retrieval poisoning defense, PII detection/redaction/masking/tokenization, toxicity/hate/harassment/self-harm/extremism filtering, data loss prevention (secrets, source provenance, outbound scanning), sensitive credential scanning, hallucination/factuality/citation enforcement, misinformation (medical/financial), regulatory compliance filters, copyright/IP/brand safety, policy orchestration (allow/block/redact/escalate/human review), agent session safety (tool invocation constraints, multi-step trace auditing), metrics & experimentation APIs.
Architect Python microservices (FastAPI/Django, async I/O, streaming) with versioned policies, feature flags, canary and shadow deployments.
Build evaluation framework: automated red-teaming suites, adversarial scenario generation, precision/recall/F1 dashboards, safety regression gates, latency/cost profiling, drift (content, behavior, model) detection.
Integrate ML/NLP components (Presidio, spaCy, Hugging Face, vector similarity, custom classifiers, rule + ML ensembles, entropy and checksum validators).Productionize RAG safety: document provenance scoring, source trust tiers, citation completeness, leakage prevention.
Implement full observability: structured audit logs, OpenTelemetry tracing, Prometheus metrics (guardrail hit ratios, decision distributions, latency percentiles), incident classification feeds.
Harden services: authN/Z (OIDC/OAuth2, service principals), rate limiting, circuit breakers, sandboxing, secure config/secrets, runtime isolation, network policies, API contract governance.Lead Docker/Kubernetes strategy: multi-stage builds, image minimization, SBOM, Helm/Kustomize, HPA/autoscaling policies, PodSecurity, resource tuning, rollback playbooks.
Coordinate requirements with Cybersecurity, Model Risk Management, Privacy, Compliance, Legal—translate policies into executable rules and evaluators.Run stakeholder UAT cycles: test planning, evidence collection, false-positive adjudication, iterative tuning.
Manage vendor engagements: technical due diligence, integration interfaces, performance/SLA validation, joint solution design and escalation paths.Mentor engineering teams; establish coding standards, review protocols, architecture decision records, incident runbooks.

To be successful in this role you should meet the following requirements

Bachelor’s degree in Computer Science/Engineering. 12+ years software engineering (majority in Python) with 5+ years focused on AI/ML or content safety/security.
Proven delivery of large-scale guardrail or trust/safety platforms for LLMs or high-risk content systems.Deep FastAPI/Django, async patterns, streaming moderation, middleware pipelines.
Strong ML/NLP integration experience: pattern + ML hybrid detectors, evaluator services, vector stores.Kubernetes production operations (autoscaling, resilience, security hardening) and CI/CD (policy gates, security scanning, artifact signing).
Advanced observability and performance tuning (profilers, tracing, queue/backpressure management, caching strategies).Risk & compliance alignment (MRM validation workflows, audit evidence, model governance).Vendor technical management (RFP criteria, integration architectures, SLA/perf oversight).
Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above. Bachelor’s in Computer Science/Engineering (or equivalent).
Proven experience building advanced applications for AI control of LLM/agent solutions, including guardrail services, policy orchestration/enforcement, automated evaluation (red-teaming), and audit-ready governance aligned to security, privacy and regulatory needs.
Operational excellence: Experience running AI control applications in production with strong observability, performance tuning, and reliability/SRE practices.Secure-by-design: Demonstrated ability to engineer AI control platforms with secure-by-design patterns (authN/Z, isolation/sandboxing, secrets management, DLP).Risk & governance: Strong track record translating risk/compliance requirements into executable controls, evidence, and measurable outcomes.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India.

Requirements

Lead design, implementation, and scaling of enterprise AI safety & security guardrail services
Combine deep AI safety engineering with high-performance Python backend
Drive vendor collaboration and internal architecture strategy for resilient, auditable, low-latency guardrail enforcement
Own technical architecture for multi-layer guardrails
Design/extend services for jailbreak & prompt/indirect injection detection
Retrieval poisoning defense
PII detection/redaction/masking/tokenization
Toxicity/hate/harassment/self-harm/extremism filtering

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

Python Django Kubernetes Cybersecurity Model Risk Management Privacy FastAPI Container Operations

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Model Validation Senior Actuary / Senior Analyst

M&G plc

Full Time

$120,000 - $180,000*

14 hours ago

United Kingdom

Worldwide

Senior

Solvency II

Internal Model

Model Risk

+4 more

Job Description

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

Context for the role:

The M&G plc Risk and Compliance function: 

Assists the Board to formulate, implement and monitor adherence to the Risk Appetite and Limit framework, risk management plans, risk policies, risk reporting and risk identification processes. Provides guidance, tools and technology and reviews and assesses the risk taking activities of, the first line of defence, where appropriate challenging the actions being taken to manage and control risks; and, provides the Board with an aggregate view of M&G plc’s risk profile and supports them in identifying and assessing key and emerging risks which threaten the achievement of M&G plc’s objectives. The M&G Life team is responsible for oversight of risks within M&G Life.

The Model Validation team support the business in managing model risk across the group through the independent validation of both the Solvency II Internal Model and other critical Models and User Developed Applications within the business, including pricing models and operational risk modelling. The team also has responsibility of the company Solvency UK compliance framework, ensuring the business adheres to the relevant regulatory requirements including any new requirements issued by the PRA.

The Manager role will provide the opportunity to validate the Internal Model, interpret and support the business in understanding and adhering to the various regulations and produce and present papers for senior committees.

Key Responsibilities:

Provide independent validation of a range of models used across M&G plc (e.g. capital, pricing, valuations) to provide assurance on the accuracy, reliability, and integrity of models used within an organization. This involves conducting independent reviews of models, assumptions, and methodologies to identify potential risks or weaknesses. Following completion of the validation, you will be responsible for summarising the results of the validation and present these in a succinct manner to relevant committees and senior stakeholders as well as agree any actions with the model owners.

Work collaboratively with colleagues and key stakeholders to build out coverage of our model development risks and support any developments to the risk framework.

To work collaboratively with colleagues and take personal accountability to maintain and enhance controls you are responsible for to support improvement of the overall control environment, customers outcomes and a reduction in M&G plc’s operational risk.

To support the reporting of the quarterly model change log to the PRA and results of the Solvency UK Compliance exercise to senior committees and Boards.

Knowledge statements:

Experience in the validation of models and tools

Good knowledge of Financial services regulations and internal model design

Working knowledge of industry best practice and good network / links with individuals and external bodies

Good knowledge of UK financial services regulatory environment

To have strong knowledge and recent exposure to model development risks and risk framework development

Awareness of external developments and ability to identify, recommend and implement improvements to processes and policies in line with these detailed statistical knowledge

Experience statements:

(Essential)

Experience in actuarial and statistical modelling

Experience in model risk and governance

Experience of providing constructive challenge and oversight of technical matters

Experience in model development risks and risk framework development

(Desirable)

Experience in risk guidance and compliance environments

Experience of liaising, influencing and negotiating effectively with internal parties

Experience of Financial Services regulatory environment and Prudential regulations

Experience of managing projects

Personal attribute/skills:

(Essential)

Able to work collaboratively across the immediate team and broader Risk and Compliance function while also being able to work independently

Good analytical and organisational skills.

Good investigative skills and ability to constructively challenge

Able to look beyond face value, ask the right questions and make links and connections across the organisation.

A strong ability to learn quickly and explain issues to others

(Desirable)

Relationship building skills

Strong oral and written communication skills.

High level of diplomacy, discretion and problem solving ability.

Experience in Python, PowerBI or R

Qualifications:

Professional qualification, e.g. CFA or Qualified Actuary, desirable

Experience Level - Manager/Expert

Recruiter - Helen Simons

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions. We also offer Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.
Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.
Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.
Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader, and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: [email protected]

Requirements

Validate internal models
Assure model accuracy and reliability
Identify potential risks or weaknesses
Provide guidance and tools to the business
Support the Board in identifying and assessing key and emerging risks

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Solvency II Internal Model Model Risk Risk Management Actuarial Science Validation Modeling

Identity Access Management & AI Governance Engineer Sr.

Cirrus

Full Time

$9149.346k - $1372.402k

20 hours ago

Worldwide

Senior

Python

Microsoft Entra ID

Azure AD

+5 more

Job Description

Job Summary

This position is responsible for the development and operation of our hybrid identity infrastructure (Microsoft Entra ID and Active Directory) and the security governance of enterprise AI tools. You will configure authentication, access policies, and data protection standards to ensure that AI applications (such as Microsoft Copilot and custom LLMs) are accessed securely and interact only with authorized data.

Duties and Responsibilities/Essential Functions

Identity Infrastructure & Access Control
Core IAM Operations: Manage and maintain Microsoft Entra ID (Azure AD) and on-premise Active Directory, including connect health, schema extensions, and trust relationships. Development of auditing and reporting to business partners and stakeholders.
Conditional Access: Design and enforce Conditional Access policies that specifically target high-risk sign-ins and restrict access to AI platforms based on device compliance and user location.
SSO & Federation: Configure Enterprise Applications and SAML/OIDC integrations, ensuring strict authentication standards for third-party AI tools and SaaS platforms.
AI Security Governance & Data Protection
AI Access Governance: Implement entitlement management and access reviews to strictly control which users and groups have access to generative AI tools (e.g., Microsoft Copilot, ChatGPT Enterprise).
Non-Human Identity Management: Secure and govern Service Principals, Managed Identities, and API tokens used by AI agents and automated workflows to prevent unauthorized privilege escalation.
Data Labeling (Purview): Configure Microsoft Purview sensitivity labels and Data Loss Prevention (DLP) policies to prevent AI tools from ingesting or surfacing Restricted/Confidential internal data.
Privileged Access & Monitoring
Privileged Identity Management (PIM): Enforce Just-In-Time (JIT) access for administrative roles and monitor for unauthorized elevation of privileges related to AI infrastructure.
Audit & Compliance: Monitor sign-in logs and audit trails for anomalous behavior involving AI applications, ensuring compliance with internal security frameworks.
Lifecycle Management: Automate provisioning and de-provisioning workflows to ensure immediate revocation of access to AI tools upon employee departure.
Training and Best practices:
Coach team members on best practices in identity and access management, fostering a culture of security awareness and compliance

Qualifications

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Bachelor’s degree in Computer Science, Information Technology or related field; or equivalent combination of education and experience
IAM Experience: 4+ years of engineering experience with Microsoft Entra ID, Active Directory Domain Services (AD DS), and Group Policy.
Data Governance: Hands-on experience with Microsoft Purview (Information Protection, Data Lifecycle Management) and DLP.
AI Security Knowledge: Understanding of how to secure non-human identities (workload identities) and govern access to Large Language Models (LLMs) within an enterprise.
Technical Skills: Proficiency in PowerShell scripting for automation and Microsoft Graph API.
Networking: Solid understanding of DNS, DHCP, and VPN as they relate to authentication flows.

Preferred Qualifications

Certifications: SC-300 (Identity and Access Administrator), SC-400 (Information Protection Administrator).
Experience configuring "Entra Verified ID" or decentralized identity standards.
Previous experience implementing guardrails for Microsoft 365 Copilot.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice. Work beyond 40 hours per week may be required.

Cirrus is dedicated to a drug free work environment promoting equal employment opportunity. Qualified applicants will receive consideration for employment without regard to race, sex, national origin, color, age, disability, religion, pregnancy, veteran status, marital and family status, sexual orientation, receipt of public assistance, genetic information or any other characteristic protected by applicable law.

Our Benefits: Cirrus provides a range of exciting benefits, including:

401(k) Plan: Dollar-for-dollar match up to 5% after 90 days, with 100% vesting.
Employer-Paid Coverages: Group term life, short- and long-term disability insurance.
Comprehensive Health Coverage: Medical, vision, dental, with additional dependent coverage options.
Free Health Tracking: With rewards for meeting health goals.
Generous PTO: 120 hours accrued within the first year.
Employee Referral Bonus: For referring talented candidates.
Career Development: Tuition reimbursement and professional growth opportunities.
Exclusive Discounts: Access to partner and marketplace discounts.
Community & Engagement: Company and employee clubs at various locations.

These benefits are designed to support your well-being, growth, and enjoyment at Cirrus!

Requirements

4+ years of engineering experience
Bachelor's degree in Computer Science, Information Technology or related field
Experience with Microsoft Entra ID and Azure AD
Knowledge of Conditional Access and SAML/OIDC
Ability to design and enforce security policies
Experience with data loss prevention and compliance
Strong understanding of identity and access management
Ability to work in a fast-paced environment

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Microsoft Entra ID Azure AD Active Directory Conditional Access SAML/OIDC Microsoft Purview Data Loss Prevention

AI Security Architect

Deloitte

Full Time

$120,000 - $180,000*

23 hours ago

Worldwide

Senior

AI/ML

Security Architecture

Cloud Security

+4 more

Job Description

We are seeking an experienced and highly skilled AI Security Architect to join AI Security team in Israel. This is a hands-on, highly technical role responsible for defining security architecture and implementing robust security controls for our AI/ML systems and their underlying platforms.

You will serve as the team’s technical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring) and proactively mitigating AI-specific threats such as model integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse. While you won’t manage people, you will lead technically, set standards, and guide engineers day-to-day through architecture, reviews, and delivery.

Key Responsibilities:

Architecture & Secure-by-Design Leadership

Define and maintain AI security reference architectures for multiple AI deployment patterns, including MCP / Agentic AI and LLM application stacks (RAG, tools/plugins, agents, orchestration).
Establish and evolve security requirements, patterns, and guardrails across the AI/ML SDLC (design → build → run), including secure pipelines and platform controls.
Own AI security architecture decisions across critical domains: identity, secrets, data protection, network controls, tenancy boundaries, logging/telemetry, and isolation for training/inference.

Control Design & Implementation (Hands-on)

Design and deploy controls to ensure model integrity and governance, including RBAC/ABAC for models, feature stores, data sets, registries, and evaluation artifacts.
Build/enable technical mechanisms for provenance, attestation, signing, and approval workflows (where applicable) across datasets, models, prompts, and deployments.
Drive implementation of runtime protections for AI services (abuse prevention, rate limiting, input/output validation, prompt-injection mitigations, model endpoint hardening, and monitoring).

Threat Modeling, Assurance, and Risk Reduction

Conduct and lead AI/ML-specific threat modeling (data poisoning, model evasion, extraction, inversion, supply-chain, prompt attacks), translate findings into actionable backlogs, and drive remediation.
Define and run security design reviews for AI initiatives; provide clear, pragmatic architecture guidance and document exceptions with risk acceptance paths.
Establish AI security testing approaches (adversarial testing, red-teaming enablement, evaluation security, misuse/abuse cases) and integrate into delivery pipelines.

Tooling, Automation, and Operational Enablement

Design and deliver AI security tooling to improve and automate cybersecurity posture (e.g., controls coverage, policy-as-code, detection engineering, vulnerability management integration, incident response playbooks for AI-specific events).
Define logging/monitoring standards and detection use-cases for AI platforms and LLM apps (drift signals, anomalous access, suspicious prompt patterns, exfiltration indicators, policy violations).

Technical Mentorship & Influence (No Line Management)

Act as the team’s technical mentor: coach engineers through designs, implementations, and trade-offs; raise engineering quality via reviews, pairing, and knowledge sharing.
Lead by influence across Data Science, Engineering, Product, Platform, and Cybersecurity—driving alignment without formal authority.
Create internal enablement materials: runbooks, architecture standards, reusable patterns, and reference implementations.

Requirements

Required Qualifications

Experience

6+ years in Information Security, Cloud Security, or Application Security.
2+ years securing AI/ML systems or LLM applications in production (or equivalent depth in architecture and threat modeling for AI-enabled systems).
Proven track record designing security architectures and driving adoption across multiple teams.

Technical Expertise

Deep understanding of the ML/AI lifecycle and associated security risks (training/inference threats, data governance, evaluation integrity, model/prompt supply chain).
Strong expertise in cloud security (AWS/Azure/GCP) and AI/ML services (e.g., SageMaker, Vertex AI, Azure ML) plus container platforms/orchestration.
Strong knowledge of data security (classification, encryption, masking/tokenization, key management, lineage/provenance).
Strong knowledge of application security architecture and secure design patterns (API security, authz/authn, secrets, CI/CD, policy-as-code).
Deep understanding of AI-specific threats/defenses: adversarial ML, data poisoning, prompt injection, model inversion, model extraction, inference-time attacks.
Strong coding ability in Python and/or Go (building security tooling, automation, integrations, prototypes).

Soft Skills

Excellent communication—able to translate complex AI security risks into clear engineering requirements and decision-ready trade-offs.
Strong stakeholder management and ability to drive alignment and delivery across diverse teams.
Practical, proactive mindset with strong problem-solving in ambiguous, fast-moving AI environments.

Preferred Qualifications

BA/BS degree required; advanced degree (MS/PhD) in Computer Science, Data Science, Cybersecurity, or related field is a plus.
Certifications such as CISSP, CSSLP, and/or relevant cloud/security certifications; AI security-focused training is a plus.
Familiarity with AI security frameworks/standards and enterprise governance expectations.

We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.

Description Hebrew

null

Requirements Hebrew

null

Requirements

Define and maintain AI security reference architectures
Establish and evolve security requirements
Design and deploy controls to ensure model integrity and governance
Conduct and lead AI/ML-specific threat modeling
Define and run security design reviews for AI initiatives

Benefits

401k Matching
Health Insurance
Paid Time Off
Flexible Hours
Remote Work
Professional Development

Skills

AI/ML Security Architecture Cloud Security Threat modeling Python Java Security Testing

Data Scientist - AI Evaluation

Wizard

Full Time

$225k - $280k

1 day ago

Worldwide

Senior

Python

Data Science

Machine Learning

+4 more

Job Description

About Wizard

Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.

The Role

We’re looking for a Data Scientist to own how we measure, understand and improve the accuracy of our AI agent. This role sits at the intersection of data science, machine learning and product and is focused on evaluation, experimentation and insight generation. You won’t be building models but you will make sure they work in real world scenarios. You will build the systems to measure what good looks like and partner closely with ML, AI Engineering and Product to continuously improve the agent’s performance.

What You’ll Do

Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations and outcomes)
Design and run experiments to measure improvements and regressions
Build and maintain evaluation datasets, benchmarks and scoring frameworks
Translate ambiguous product questions into clear, measurable hypotheses and analysis
Partner with ML Engineers to validate model changes and guide iteration
Identify failure modes and edge cases and drive improvements through data
Create dashboards and reporting that make agent performance visible, trusted and actionable

What Success Looks like

Clear, trusted accuracy metrics are consistently used across product and engineering
A robust automated evaluation framework exists for both offline and live experiments
Model and product changes are consistently measured before and after launch

Ideal Background

4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles
Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc)
Strong experience with experimentation (A/B testing, causal inference)
Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems
Ability to translate messy problems into structured analysis and metrics
Strong product mindset, you care about real user outcomes
Clear communication with the ability to influence across engineering and product

Compensation & Benefits

The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.

In addition to base salary, Wizard offers:

Equity in the form of stock options
Medical, dental, and vision coverage
401(k) plan
Flexible PTO and company holidays
Fully remote work within the United States
Periodic company offsites and team gatherings

Wizard is committed to fair, transparent, and competitive compensation practices.

Requirements

4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles
Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc)
Strong experience with experimentation (A/B testing, causal inference)
Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems
Ability to translate messy problems into structured analysis and metrics
Strong product mindset, you care about real user outcomes
Clear communication with the ability to influence across engineering and product

Benefits

401k Matching
Equity
Health Insurance
Remote Work
Stock Options
Training Budget

Skills

Python Data Science Machine Learning AI Experimentation A/B Testing Causal Inference

AI Governance Specialist

nordeabank

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Machine Learning

Generative AI

+5 more

Job Description

Job ID: 3958

Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI.

We are now looking for an AI Governance Specialist who is interested in topics of risk management and responsible AI, to apply in the field of Predictive, Generative and Agentic AI with use-cases across the bank. You will work closely with architects, engineers, risk functions, and business stakeholders to ensure all AI applications and use cases are managed in compliance with governance frameworks and regulations.

Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.

About our team

Meet the AI Portfolio Delivery team. We're a collaborative and innovative team within the central Group AI unit, responsible for driving governance, architecture and management of Nordea-wide AI applications. We are building strong connections throughout Nordea to transform ambitious AI visions into practical, compliant, and impactful solutions across the entire organization.

Our AI team culture is built on collaboration, continuous learning and innovation. We foster an open environment where diverse ideas thrive, encouraging everyone to push the boundaries of technology while supporting each other´s growth. With a strong focus on well-being, we prioritize work-life balance and encourage open communication

This position is a fulltime, permanent role, with hybrid working location based in Helsinki, Finland, Stockholm, Sweden, or Copenhagen, Denmark.

What you’ll be doing

Main responsibilities in this role include, but are not limited to:

Support the design and ensure AI governance framework implementation across the organization
Disseminate governance best practices, serving as a point of contact to all AI efforts, guaranteeing best practices on responsible AI are consistently adopted in the Bank
Educate use case owners and other relevant stakeholders in bank-wide governance protocols and external regulations
Lead risk-based governance approach for AI agents, including development of low-risk agent pathways and complex agent consultation processes
Partner with risk functions to build guidelines and procedures for efficient risk management
Collaborate with cybersecurity and information security teams to ensure platform assessments and security clearances

Who you are

Your passion for working with people from both a technical and a business background, coupled with your curiosity for making new technologies and solutions safe & trusted, makes you well-suited for this position. As Nordea pioneers its way into an AI-driven future, you will thrive by embracing a dynamic environment, fostering collaboration, and maintaining an open and adaptable mindset.

Your background and skills include:

BSc or MSc in Business, Engineering, Risk Management, or a related Legal discipline
3+ years of experience in AI governance, AI Risk, Model Risk Management and related activities
Professional experience and familiarity with EU AI Act and other relevant AI regulations (GDPR)
Ability to clearly communicate governance concepts for a non-technical audience, and educate multiple stakeholders on responsible AI
Understanding of Predictive & Generative AI model governance and mitigation processes for associated risks e.g. hallucination, fairness, explainability, and autonomy risks in Agentic AI
Understanding of main steps in AI lifecycle with operational concepts and best practices
Experience with AI/ML projects in designing, developing and maintaining governance frameworks for advanced analytics use cases
Familiarity with ISO 42001 or comparable frameworks is beneficial

At Nordea, inclusion and diversity are at the heart of our values. We believe that a diverse workforce drives innovation, fosters creativity and creates a more supportive workplace for all.

We encourage applications from candidates who are passionate about AI governance and meet most of these criteria. We value diverse perspectives and welcome applicants from all backgrounds.

If this sounds like you, get in touch!

Next steps

We kindly ask you to submit your application as soon as possible, but no later than 12/04/2026. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered.

At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics, and traits make us better at serving our customers and communities.

If you have any questions about our recruitment process, please reach out to our tech recruiter and main point of contact [email protected].

If you are an external consultant interested in this role and wish to apply please contact the hiring people leader for separate instruction on how to apply.

For candidates in Sweden: For union information, please contact [email protected] or [email protected].

Requirements

Support AI governance framework implementation
Disseminate governance best practices
Educate use case owners and stakeholders
Lead risk-based governance approach
Partner with risk functions
Collaborate with cybersecurity and information security teams

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI Machine Learning Generative AI Agentic AI Risk Management Governance Frameworks Predictive AI Regulations

Associate Director, Enterprise Model Risk Management

RBC

Full Time

$120,000 - $180,000*

1 day ago

Canada

Worldwide

Senior

Python

SAS

SQL

+4 more

Job Description

Job Description

What is the opportunity?

As an Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will execute and document validations of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale and Retail credit risk systems, including acquisition & account management models, as well as Wholesale, Retail, and Margin Lending AIRB parameters (Probability of Default (“PD”), Loss given Default (“LGD”) and Exposure at Default (“EAD”)) used in both regulatory and economic capital. You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems, acquisition & account management models and risk quantification validations.

What will you do?

Perform ongoing Wholesale and Retail credit risk systems including acquisition & account management models as well as parameters validations and provide insightful analysis of validation results
Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes
Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, acquisition & account management models, as well as parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc.
Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate
Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders
Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?

Must-have

Model development or model validation experience, preferably related to credit risk models used within the financial services industry. A strong understanding of credit risk modeling theories, principles and industry best practices.
Strong conceptual, analytical, detailed oriented and problem-solving skills
Strong computer skills – Python, SAS, SQL and Excel required; similar open-source programming languages (i.e. R, or Scala, PySpark) and code sharing solutions (Github) are essential
Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data. Comfortable working with large data sets
Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques; experience with Python modules used in training deep learning models (e.g. torch).
Effective presentation and communication skills, with strong written capabilities essential. Strong consensus-building skills. Works well in teams
Execute with urgency while maintaining quality and efficiency; adapt to shifting priorities, coupled with a sense of urgency
Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field).

Nice-to-have

Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments
Experience with Hadoop, Spark and similar data storage and processing tools. Experience with deep learning methodologies. Familiar with Tableau or other data visualization tools
Familiar with object-oriented programming concepts
Exposure to credit risk system design and OSFI’s CAR guideline is a definite asset
A strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is an asset.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Leaders who support your development through coaching and managing opportunities.
Ability to make a difference and lasting impact.
Work in a dynamic, collaborative, progressive, and high-performing team.
A world-class training program in financial services.
Opportunities to do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

#LI-Post

#TECHPJ

Job Skills

Backtesting, Credit Ratings, Credit Risks, Critical Thinking, Data Analysis, Financial Regulation, Loss Given Default, Model Risk, Probability of Default, Python (Programming Language), Quantitative Methods, Regulatory Requirements, Retail Credit, Risk Management, Risk Ratings, Statistical Analysis Techniques

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-24

Application Deadline:

2026-04-13

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Requirements

Model development or model validation experience, preferably related to credit risk models used within the financial services industry.
A strong understanding of credit risk modeling theories, principles and industry best practices.
Strong conceptual, analytical, detailed oriented and problem-solving skills
Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data.
Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques;
Effective presentation and communication skills, with strong writing skills

Benefits

401k Matching
Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Flexible Hours
Gym Membership
Home Office Budget

Skills

Python SAS SQL Excel Scala GitHub PySpark

Enterprise Power Platform and AI Governance Administrator

Aramark

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Copilot Studio

Power Automate

Power Apps

+4 more

Job Description

The Power Platform & Copilot Studio Administrator is a senior Information Technology professional responsible for governance, oversight, security hardening, and enterprise-wide management of Aramark’s Microsoft Power Platform and Copilot Studio environments, as well as other approved AI solutions (Copilot, Claude, and Gemini) used across the enterprise. This role serves as the central platform owner and gatekeeper, with authority to approve, deny, remediate, or retire Power Platform environments, Copilot agents, apps, flows, and related AI capabilities, while providing best-practice guidance to ensure safe, compliant, and effective use by makers and end users. In addition, this role acts as an overall Microsoft product specialist—advising stakeholders on recommended Microsoft solutions and best practices for their needs, and guiding users through migrations from other platforms to Microsoft tools.

Job Responsibilities

Platform Governance & Ownership
• Act as the authoritative owner for Copilot Studio, Power Automate, and Power Apps, and provide governance oversight for other approved AI solutions (Copilot, Claude, and Gemini).
• Approve or deny environments, Copilot agents, apps, flows, and AI usage patterns/requests for enterprise-managed Copilot, Copilot Studio, Claude, and Gemini in alignment with enterprise standards.
• Define and enforce standards for architecture, connectors, licensing, data handling, retention, and DLP policies.
• Establish and maintain usage guidelines and guardrails for safe and compliant adoption of AI capabilities across the enterprise.
Microsoft Product Advisory & Migration Enablement
• Serve as a Microsoft product specialist, translating business requirements into recommended Microsoft solutions (e.g., M365, Teams, SharePoint, OneDrive, Power Platform, Copilot) and reference architectures.
• Provide best-practice guidance on solution selection, information architecture, security and compliance considerations, and adoption patterns to maximize value and reduce risk.
• Partner with stakeholders to assess current-state tooling and usage (including non-Microsoft platforms), identify gaps, and define an actionable modernization roadmap.
• Guide users through migrations from other platforms to Microsoft tools, including planning, data/content migration approach, governance alignment, and change-management support.
• Document standards, decision trees, and reusable playbooks to ensure consistent solution recommendations and repeatable migration outcomes.

Security, Risk, and Compliance
• Partner with IT Security, Privacy, Risk, and Enterprise Architecture to implement and continuously improve governance controls across Power Platform and other AI solutions.
• Work with Information Security to ensure security hardening activities (configuration baselines, access controls, monitoring, auditing, and secure-by-default standards).
• Ensure compliance with data protection, licensing, and AI governance standards, including appropriate classification and acceptable-use guidance for users.

Hands-On Administration & Remediation
• Perform hands-on administration for complex scenarios and escalations spanning Power Platform/Copilot Studio and other approved AI solutions, as applicable.
• Monitor and remediate non-compliant agents and usage; coordinate incident response and corrective actions as needed.
• Shut down, quarantine, or retire non-compliant or high-risk assets in accordance with governance and security policies.

Enablement & Executive Communication
• Provide best-practice guidance, documentation, and training to makers and end users on approved AI solution usage, risks, and safe operating standards.
• Enable developers with guardrails, reusable patterns, and secure design standards to accelerate delivery while reducing risk.
• Translate complex technical and governance concepts into clear executive-level guidance, status, and recommendations.

Qualifications

5+ years of experience in Information Technology.
Deep expertise with Power Automate, Power Apps, and Copilot Studio.
Strong governance, documentation, and executive communication skills.
AI governance, Claude and other Microsoft stack knowledge Copilot, Gemini

Key Attributes

Calm but firm under pressure.
Bias toward structure, repeatability, and risk reduction.
Comfortable acting as a central gatekeeper.

About Aramark

Our Mission

Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.

At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.

About Aramark

The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.

Requirements

Governance oversight for AI solutions
Define and enforce standards for architecture
Establish and maintain usage guidelines
Serve as a Microsoft product specialist
Provide best-practice guidance on solution selection
Partner with stakeholders to assess current-state tooling
Guide users through migrations from other platforms
Document standards and decision trees

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Copilot Studio Power Automate Power Apps Machine Learning Microsoft Power Platform AI solutions Microsoft product specialist

AI Governance & Value Manager

Glanbia

Full Time

$120,000 - $180,000*

1 day ago

Ireland

Worldwide

Senior

Machine Learning

Data Science

+4 more

Job Description

AI Governance and Value Manager

Location – Dublin / Kilkenny

Reports to – Head of AI Strategy and Architecture

Glanbia Business Services

Join this dynamic team focused on delivering better nutrition for every step of life’s journey.

The Opportunity

The AI Governance and Value Manager plays a pivotal role in enabling responsible, scalable, and value-driven AI adoption across the enterprise. This role combines strategic governance with hands-on engagement to ensure AI initiatives are aligned with business priorities, deliver measurable benefits, and adhere to ethical and regulatory standards.

Job Responsibilities

Use Case Management & Value Realisation:

Manage the AI use-case intake funnel, ensuring ideas are captured, evaluated, and progressed through the pipeline.
Track and report on benefits realisation, highlighting business impact and communicating success stories across the organisation.
Maintain visibility across Data Squads to ensure alignment and progress.
Jointly oversee the AI engineering team responsible for delivering selected AI solutions, ensuring alignment with governance standards and value-driven outcomes.

Business Engagement & Ideation

Facilitate ideation sessions and workshops with business units to uncover high-value AI opportunities.
Act as a catalyst for innovation, helping teams translate business challenges into AI-enabled solutions.
Support prioritisation and readiness of use cases for development and deployment
Continuously scan the horizon to understand where other organisations are getting value from AI and identify similar opportunities within Glanbia

Collaboration & Enablement

Serve as a subject matter expert on AI governance and value delivery, guiding teams on best practices and strategic alignment.
Partner with data scientists, engineers, and business leaders to ensure consistent and effective AI adoption.
Work closely with the AI Strategy and Architecture lead to ensure governance and value frameworks support the broader AI vision.

Governance & Policy Ownership

Develop and maintain AI governance frameworks, policies, and standards aligned with enterprise data and AI strategies.
Lead reporting and engagement with Data Councils, ensuring transparency and accountability across AI initiatives.
Oversee compliance with ethical AI principles, regulatory obligations, and data privacy requirements.
Work closely with the AI Strategy and Architecture lead to align governance and operations with overall AI strategy.
Coordinate risk assessments and model lifecycle governance in collaboration with Legal, Risk, and other stakeholders.

Operationalisation of AI:

Translate AI governance frameworks into actionable processes and controls across business units.
Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability.
Support the deployment and monitoring or AI models in production environments.
Collaborate with business teams to coordinate the delivery of prioritised AI use cases.
Provide technical and operational guidance to ensure consistent adoption of AI practices.

Role Dimensions

Geographic Remit	Global remit
People Management	Oversight and management of 3rd party AI / ML technical resources.
Budgetary Management	Provides advisory and/or management to financial planning and cost control for AI and advanced analytics solutions from an architectural standpoint (as required). Inputs to the cost provision and management of budgets for relevant Data Platforms.

Key Relationships/Customers

Business Stakeholders	Business Data Owners D&A Council AI Governance forums MDM Governance Manager
IT Stakeholders	Director of Data, AI & Analytics Data Platform teams Data Product teams Value Stream leads / teams Information Security, Risk & Compliance teams
Other	Third-party providers (e.g., partner services, managed services)

Qualification & Experience Requirements

Bachelor's or Master's degree in a relevant field (e.g., Data Engineering, Computer Science, Information Technology), or equivalent experience.
Certifications in AI Governance, Responsible AI, or Data Ethics (e.g., IAPP’s AIGP certification) are highly desirable

Professional Experience

5–8 years of experience in roles related to:
AI/ML, data governance, analytics, or digital transformation.
Delivering AI governance frameworks and operationalising AI solutions across business units.
Proven track record in:
Managing AI use-case pipelines and benefit realisation.
Facilitating ideation workshops and translating business needs into AI opportunities.
Collaborating with cross-functional teams including Legal, Risk, and Engineering

Technical and Strategic Skills

Strong understanding of:
AI lifecycle management, model governance, and MLOps practices.
Ethical AI principles, regulatory frameworks (e.g., EU AI Act), and data privacy laws.
Familiarity with enterprise platforms and tools such as Azure ML, SAP AI features, and Microsoft Copilot.
Ability to assess feasibility and impact of AI use cases from both technical and compliance perspectives.

Leadership & Collaboration

Experience in:
Leading or co-managing AI engineering teams delivering enterprise AI solutions.
Influencing stakeholders and aligning AI initiatives with strategic goals.
Acting as a governance ambassador across business units and forums

Value & Impact Orientation

Skilled in:
Tracking and communicating benefits realisation of AI solutions.
Developing dashboards and metrics to monitor AI performance and business impact.
Driving adoption of AI governance standards and reporting to Data Councils

Key Technical & Leadership Capabilities

TECHNICAL CAPABILITIES & SKILLS

AI & Advanced Analytics Solution Design and Oversight	Designs and maintains end-to-end architectures for AI and complex analytics solutions (e.g., data ingestion, feature engineering, model training and deployment), ensuring alignment with business needs and enterprise architecture standards.
AI & Advanced Analytics Architecture Advisory	Provides architectural oversight to ensure AI and complex analytics solutions are robust, scalable, and explainable; evaluates technical requirements for AI and complex analytics solutions against data availability and implementation complexity.
Model Operationalisation (MLOps)	Supports the build of robust pipelines for model deployment, monitoring, and lifecycle management using MLOps practices.
AI / ML Platform & Tooling Expertise	Provides technical guidance on AI / ML platforms and tools (e.g., TensorFlow, PyTorch, Azure ML) to guide solution development and optimises their use.

LEADERSHIP CAPABILITIES

Drive Strategic Impact	Translates organizational strategy into team strategy using data-driven insights to make effective decisions and take calculated risks, while building strong customer/consumer relationships.
Act with Agility	Introduces change initiatives to address changing business needs by working effectively through uncertainty and with unstructured teams and environments.
Empower Others	Develops a future pipeline of talent by proactively assessing capabilities and creating development goals that leverage effective coaching, delegation, and autonomy.
Lead Inclusively	Creates a psychologically safe environment that removes divides, drives collaboration, and fosters a culture of respect and curiosity.
Innovate with Courage	Encourages team to build new capabilities, explore new ideas and emerging technologies, and engage in a constructive approach to lessons learned.
Communicate with Purpose & Vision	Delivers inspirational communications that mark progress toward archiving organizational vision, cultivate a sense of shared purpose, and build buy-in with key stakeholders.

If you think you have what it takes, but don't necessarily meet every single point on the job description, please apply!

Where and How You Will Work

The opportunity will be based in Dublin/ Kilkenny with hybrid working arrangements available, which allows you greater choice in how you work and live, giving you a better work-life balance.

What We Would Like to Offer You

The opportunity to develop your career on a global stage, continuous learning through an on-demand learning platform, and a competitive compensation package including staff discounts, generous family leave policy, health plan, pension and competitive salary.

About Glanbia

Glanbia is a better nutrition company with three divisions: Performance Nutrition, Health & Nutrition and Dairy Nutrition. Collectively and with our partners we offer an incredible breadth of expertise in nutrition. We employ a team of 6000 people, work with global food and beverage companies, and sell our award-winning and market-leading brands and ingredients in more than 100 countries worldwide.

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a variety of candidates. We will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Requirements

Use Case Management & Value Realisation
Business Engagement & Ideation
Collaboration & Enablement
Governance & Policy Ownership
Operationalisation of AI
Translate AI governance frameworks into actionable processes and controls across business units
Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability
Support the deployment and monitoring or AI models in production

Benefits

Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

AI Machine Learning Data Science Data Engineering Cloud Computing Python Java

Business Control Manager- GT Model Governance Portfolio Manager

Bank of America

Full Time

$120,000 - $180,000*

1 day ago

United States

Worldwide

Senior

Model Risk Management

AI Governance

Compliance

+4 more

Job Description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for leading and executing on internal control discipline and operational excellence within a Line of Business (LOB) or Enterprise Control Function (ECF). Key responsibilities include executing LOB or ECF processes and tools to drive adherence to enterprise-wide standards. Job expectations include supporting the implementation of quality assurance and quality control processes within the LOB or ECF through ongoing monitoring and testing of controls, identifying issues and control improvements for remediation, and building out actions plans and milestones.

The GT Model Governance Portfolio Manager plays a critical leadership role in strengthening the governance, oversight, and risk management of AI models, traditional models, and critical-use spreadsheets across Global Technology – Global Information Security (GT‑GIS), while also supporting broader CIO divisions. This role is responsible for ensuring end‑to‑end compliance with Enterprise AI, Model Risk Management (MRM), and Critical Use Spreadsheet Policies, including documentation, inventory management, health monitoring, reporting, and quarterly attestations. The Portfolio Manager drives the model risk strategy for Global Technology by enabling strong governance practices, proactive risk identification, and continuous improvement. As a trusted partner across technology, risk, and business stakeholders, this individual champions the responsible, compliant, and effective use of models to mitigate cyber risk and support the bank’s Defense in Depth strategy. The role blends strategic thinking with hands‑on execution and offers the opportunity to influence enterprise‑wide risk outcomes in a fast‑evolving technology and threat landscape.

Responsibilities:

Leads the assessment of the design and effectiveness of the risk and control environment to support Client Operational Services and ensure adherence to enterprise-wide standards
Performs monitoring and testing of controls, identifying issues and control improvements for remediation
Leads the implementation of optimized controls and enhanced Quality Assurance (QA) practices to support business continuity efforts
Manages the performance and productivity of team members that conduct quality inspection reviews
Ensures timely execution of QA activities including control execution, case management, and results reporting
Manages and reviews all operations front line unit responses for regulatory exams, internal audits, and other monitoring and inspection reviews
Ensures accuracy of data and that relevant information is captured for inspection metrics to support governance for dashboard reporting
Lead and execute model governance strategy for Global Technology, ensuring alignment with Enterprise Model Risk Management and Artificial Intelligence policies, standards, and regulatory expectations
Oversee the AI, model, and critical-use spreadsheet portfolio, including model identification, health assessments, inventory management, and quarterly attestations
Drive risk mitigation strategies to proactively address model risk issues, control gaps, and emerging risks across technology and information security domains
Review, maintain, and enhance model documentation, tracking, reporting, and ongoing compliance processes
Translate enterprise MRM requirements into Global Technology–specific procedures, controls, and governance frameworks
Partner closely with technology leaders, GIS teams, and lines of business to coordinate deliverables, priorities, and governance routines
Prepare and quality‑review executive‑level materials, metrics, and reporting for senior management and governance forums
Coordinate cross‑divisional timelines and deliverables, ensuring commitments are met accurately and on schedule
Define, monitor, and manage Model Risk Key Risk Indicators (KRIs) to support risk transparency and informed decision‑making
Participate in governance forums to assess model inventory health, developer activity, and adherence to policy expectations
Support audits, regulatory exams, issues management, and remediation efforts related to model risk and governance
Identify and implement opportunities to streamline and enhance model risk management processes, partnering across teams to drive execution
Manage cross‑functional governance programs and projects, balancing strategic objectives with operational excellence

Required Qualifications:

3+ years of recent experience in a Risk & Control, Governance, Compliance, or related environment
Strong ability to communicate complex technical and risk concepts in clear, concise language tailored to diverse audiences
Demonstrated accountability, ownership, and execution excellence in delivering results
Proven experience acting as a change agent, driving adoption and alignment across diverse stakeholder groups
Excellent collaboration and influencing skills, with the ability to motivate teams without direct authority
Comfort operating in ambiguous and evolving environments, with strong analytical and problem‑solving capabilities
Strategic, self‑directed, organized, and capable of operating with minimal supervision
Ability to prioritize, coordinate, and execute against deadlines while adhering to enterprise policies and standards
Strong critical‑thinking skills, including the ability to “connect the dots” and perform thematic risk analysis
Proficiency in Microsoft Office (Outlook, Word, PowerPoint, Excel)

Desired Qualifications:

Familiarity with the Global Technology organization and enterprise technology operating models
Strong understanding of Information Security principles, technologies, attack vectors, and associated risks
Prior experience in Cybersecurity Operations, including exposure to incident response, privacy, or threat management disciplines
Infrastructure domain experience within Risk, CTO, and/or Global Information Security organizations
Strong working knowledge of the NIST Cybersecurity Framework
Advanced understanding of security threats, vulnerabilities, exploits, malware, and digital forensics to support informed risk decisions
Proven experience implementing Compliance and Operational Risk Program requirements, including risk assessments, control design, and issues management

Why This Role:

This is a high‑visibility opportunity to influence how models and AI are governed across a complex global technology environment. You will work at the intersection of technology, cybersecurity, and enterprise risk, helping ensure innovation is deployed responsibly, securely, and in alignment with regulatory and policy expectations.

Skills:

Controls Management
Oral Communications
Risk Management
Stakeholder Management
Strategy Planning and Development
Continuous Improvement
Drives Engagement
Influence
Strategic Thinking
Talent Development
Data and Trend Analysis
Decision Making
Monitoring, Surveillance, and Testing
Problem Solving
Quality Assurance

Shift:

1st shift (United States of America)

Hours Per Week:

Requirements

Lead the assessment of the design and effectiveness of the risk and control environment
Perform monitoring and testing of controls
Identify issues and control improvements for remediation
Build out actions plans and milestones
Ensure end-to-end compliance with Enterprise AI, Model Risk Management (MRM), and Critical Use Spreadsheet Policies
Drive the model risk strategy for Global Technology
Enable strong governance practices, proactive risk identification, and continuous improvement

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts

Skills

Model Risk Management AI Governance Compliance Legal Risk Management Model Validation Machine Learning

AI Security Architect

Capgemini

Full Time

$106.23k - $145k

1 day ago

Worldwide

Senior

AI/ML

Cloud Security

Data Science

+5 more

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title : Cloud Security Architect with AI
Type : FTE ( No Subcontractor or C2C)
Mode : Hybrid
Location : Atlanta /Dallas/Chicago
Visa : No Sponsorship Available

Jd :

About the Role:

We are seeking an experienced AI Security Architect to support the secure design, development, and deployment of AI/ML and Generative AI solutions across the enterprise. This role will work closely with data science and engineering teams, product owners, cloud/platform teams, and the security architecture and operations groups to define and implement security requirements that enable compliant, resilient, and trustworthy AI adoption.

Key Responsibilities:

Collaborate with AI/ML engineering, data engineering, platform, and application teams to gather and analyze AI security requirements (data sourcing, model training, inference, integrations, and operational workflows).
Define and document secure reference architectures for AI/ML and GenAI workloads across cloud and enterprise environments, including patterns for model hosting, RAG, agents, API exposure, and third-party model consumption.
Perform threat modeling for AI systems (training and inference) including risks such as prompt injection, data leakage, model inversion/extraction, insecure plugins/tools, and supply chain risks.
Establish security controls for data protection across the AI lifecycle: dataset governance, data minimization, labeling/classification alignment, encryption, key management, secrets handling, and secure data access patterns.
Define requirements and guardrails for GenAI safety and misuse prevention, including content filtering, prompt/response logging strategy, abuse detection, and safe tool execution.
Partner with IAM teams to implement least-privilege access for AI platforms, model endpoints, feature stores/vector databases, and supporting pipelines (service-to-service auth, token handling, RBAC/ABAC).
Review and approve AI solution designs, ensuring alignment with security policies, regulatory expectations, and enterprise standards (secure SDLC/DevSecOps).
Define requirements for model governance and assurance (model provenance, versioning, artifact integrity, evaluation/validation controls, documentation, and auditability).
Work with security operations to integrate AI platforms into monitoring and incident response, including logging requirements, detection use cases, and response playbooks for AI-specific incidents.
Contribute to security standards and best practices: “when to use enterprise controls vs platform-native controls,” secure configuration baselines, and reusable implementation guidance.
Required Qualifications:

5+ years of experience in security architecture/engineering, with demonstrated experience securing cloud-native applications and APIs (AI/ML experience required).
Strong understanding of AI/ML and GenAI solution patterns (model training vs inference, RAG, vector databases, agents/tool use, model endpoints).
Proven ability to translate business and technical requirements into actionable security controls and architecture decisions.
Experience with cloud security fundamentals (network segmentation, IAM, encryption, secrets management, logging/monitoring) in at least one major cloud provider (AWS/Azure/GCP).
Hands-on experience with application security and API security (authN/authZ, OWASP Top 10, secure SDLC, threat modeling).
Familiarity with AI/ML security risks and mitigations (prompt injection, data leakage, jailbreaks, model theft, poisoning, insecure dependencies).
Strong communication skills—able to document and present complex technical topics to engineering and leadership audiences.
Ability to work independently and drive results in a fast-paced, multi-team environment.

Job Description - Grade Specific

Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers ˜the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people.

The base compensation range for this role in the posted location is: [$106230 to $145000]

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Requirements

Collaborate with AI/ML engineering, data engineering, platform, and application teams to gather and analyze AI security requirements
Define and document secure reference architectures for AI/ML and GenAI workloads across cloud and enterprise environments
Perform threat modeling for AI systems (training and inference) including risks such as prompt injection, data leakage, model inversion/extraction, insecure plugins/tools, and supply chain risks
Establish security controls for data protection across the AI lifecycle: dataset governance, data minimization, labeling/classification alignment, encryption, key management, secrets handling, and secure data access patterns
Define requirements and guardrails for GenAI safety and misuse prevention, including content filtering, prompt/response logging strategy, abuse detection, and safe tool execution
Partner with IAM teams to implement least-privilege access for AI platforms, model endpoints, feature stores/vector databases, and supporting pipelines (service-to-service auth, token handling, RBAC/ABAC)
Review and approve AI solution designs, ensuring alignment with security policies, regulatory expectations, and enterprise standards (secure SDLC/DevSecOps)
Define requirements for model governance and assurance (model provenance, versioning, artifact integrity, evaluation/validation controls, documentation, and auditability)

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI/ML Cloud Security Data Science Engineering Security Architecture Threat modeling Cloud Platforms API

Director, AI Ethics and Governance

Centene Corporation

Full Time

$148k - $274.2k

1 day ago

Worldwide

Senior

Machine Learning

Data Science

+3 more

Job Description

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose:

Executes the AI governance framework, ensuring that established policies and strategies are effectively implemented across the organization.
Leads day-to-day management of AI governance programs, overseeing teams responsible for monitoring AI systems, addressing compliance requirements, and implementing risk management protocols. Collaborates with various departments and stakeholders to promote a culture of ethical AI innovation and ensure compliance with all applicable laws, regulations, and ethical guidelines. Ensures fairness, transparency, and accountability in the development and deployment of AI systems across the organization, mitigating potential biases and discriminatory outcomes, and fostering trust with members and the public.

Executes comprehensive AI governance framework that aligns with organizational goals, ethical principles, and regulatory requirements
Translates high-level AI-specific policies and strategies into actionable processes, guidelines, and operational workflows within the organization. Addresses data governance, bias mitigation, transparency, accountability, and risk management
Monitors and conducts AI risk assessments to identify potential ethical, legal, and societal risks associated with AI applications. Reports on findings to senior leadership and the VP of AI Governance.
Implements the AI ethics guidelines for the organization including for models developed by the organization or third parties on which the organization relies
Performs project level risk analysis to determine success criteria or identify risks for model development outcomes
Develops and implements AI training and awareness programs for employees and stakeholders on AI governance principles, ethical considerations, and best practices
Manages a team of AI professionals to ensure consistent application of AI governance standards across the organization
Advocates for the understanding of human reactions and behaviors, for those working with AI, adjacent to AI, or receiving an output from AI as part of overall AI ethics
Promotes AI literacy across the organization, fostering a shared understanding of AI's impact and facilitating smooth adoption
Monitors and evaluates the performance and impact of AI systems on the organization and its stakeholders
Establishes metrics and benchmarks to assess the effectiveness of AI governance controls and identify areas for improvement
Performs other duties as assigned
Complies with all policies and standards

Education/Experience:

Bachelor's Degree in Computer Science, Data Science, Law, or Healthcare Management or related field; or equivalent experience required.
7+ years leadership experience in related field.

Technical Skills:

Experience with and deep understanding of AI governance frameworks, ethical principles, and best practices required
Strong knowledge of the healthcare industry, including relevant regulations (e.g., HIPAA) and ethical considerations required
Proven ability to identify, assess, and mitigate risks associated with AI technologies required
Experience in developing and implementing AI compliance programs preferred
Experience with AI model development and deployment preferred
Knowledge of data governance frameworks and best practices preferred

Pay Range: $148,000.00 - $274,200.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Requirements

7+ years leadership experience in related field
Bachelor's Degree in Computer Science, Data Science, Law, or Healthcare Management or related field
Experience in AI governance framework development and implementation
Ability to lead day-to-day management of AI governance programs
Collaboration with various departments and stakeholders to promote a culture of ethical AI innovation

Benefits

401k Matching
Flexible Hours
Health Insurance
Remote Work
Training Budget
Wellness Programs

Skills

AI Machine Learning Data Science Ethics Governance Risk Management

Principal Product Manager, AI Compliance

Full Time

$228.911k - $471.286k

1 day ago

Worldwide

Senior

Machine Learning

Data

+4 more

Job Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest runs on AI, and our AI governance and compliance program ensures that AI is developed, deployed, and used in ways that align with evolving legal requirements, Pinterest’s values, and our long‑term strategy. As the Principal Product Manager, AI Compliance, you’ll define and drive the product strategy that ensures our Pinner and Advertiser facing artificial intelligence models are developed, deployed, and used in a way that are aligned with our values, strategic objectives, and account for relevant obligations. You’ll shape how Pinterest uses data, models, and tooling to innovate quickly and responsibly.

What you’ll do:

Drive AI compliance and governance product strategy across Pinner- and advertiser-facing AI products, ensuring that model training and inference align with global regulatory obligations, internal policies, and Pinterest’s values.
Own user-facing and internal data controls for AI training (e.g., AI data opt-out mechanisms), setting requirements and roadmaps that balance product performance, privacy, and regulatory needs while ensuring effective internal enforcement and awareness.
Expand and support AI compliance tooling—from detection and labeling systems (such as watermarking and provenance) to governance workflows and inventories—so teams across Pinterest can build compliant AI experiences efficiently and consistently.
Partner deeply with Legal, Privacy, Policy, Security, and Engineering to translate complex regulatory requirements into clear, prioritized product workstreams and scalable platform capabilities.
Lead high-visibility, cross-functional programs that span multiple product areas, infrastructure, and engineering teams, creating alignment on tradeoffs, sequencing, and resourcing for AI governance initiatives across the company.
Serve as a principal-level thought partner on AI governance, influencing long-range AI product strategy, identifying new risk or compliance gaps early, and advocating for the infrastructure and processes needed to keep Pinterest ahead of regulatory change.

What we’re looking for:

Deep AI/ML or data platform product experience, including building or scaling products that rely on model training data, user data, or complex backend systems; experience in AI safety, responsible AI, or AI compliance is a strong plus.
Proven success driving cross-company, multi-year programs at a Staff/Principal level (or equivalent), especially in ambiguous problem spaces that require both strategic frameworks and hands-on execution.
Experience working closely with Legal, Privacy, Policy, and Security teams to operationalize regulatory or policy requirements into product features, data controls, and platform capabilities.
Fluency with data and governance concepts—comfortable reasoning about data classification, lineage, retention, opt-outs, and enforcement, and partnering with technical teams to define robust measurement and monitoring.
Track record of building or scaling compliance or governance tooling, such as policy engines, inventories/registries, detection or labeling systems, approval workflows, or audit and reporting capabilities.
Exceptional communication and influence skills, with the ability to align executive stakeholders and cross-functional partners around a clear point of view on AI risk, compliance tradeoffs, and sequencing.
Comfort operating in fast-changing regulatory and technical environments, with a bias toward pragmatic, principle-driven solutions that protect users and the business while enabling innovation.
Ability to lead and operate in highly ambiguous environments and execute with urgency.
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration periodically (for example, 1–2 times per quarter) and therefore can be situated anywhere in the country.

#LI-REMOTE
#LI-REX

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$228,911—$471,286 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Requirements

Drive AI compliance and governance product strategy across Pinner- and advertiser-facing AI products
Own user-facing and internal data controls for AI training
Expand and support AI compliance tooling
Partner deeply with Legal, Privacy, Policy, Security, and Engineering
Lead high-visibility, cross-functional programs
Serve as a principal-level thought partner on AI governance

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI Machine Learning Data Python Compliance Governance Regulatory

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do

Design and lead adversarial testing of LLM and AI-driven systems
Conduct threat modelling across model, infrastructure and data layers
Execute and oversee testing for:
Prompt injection
Jailbreaking
Model exploitation
Data leakage / extraction
RAG system manipulation
Translate findings into structured, audit-ready documentation
Map vulnerabilities and remediation pathways to:
ISO 27001 controls
SOC 2 Trust Service Criteria
ISO 27701 privacy controls
ISO 27017 cloud security controls
Partner closely with engineering, security, and compliance functions
Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

What We’re Looking For

Core Technical Depth

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Strong Python proficiency

Enterprise Security & Governance Fluency

Experience working within ISO 27001 environments
Practical knowledge of SOC 2 Trust Service Criteria
Understanding of ISO 27701 privacy extensions
Familiarity with ISO 27017 cloud security controls
Ability to map technical findings to control frameworks

Communication & Documentation

Ability to produce clear, structured, audit-friendly documentation
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Who You Are

Systems thinker
Curious and adversarial in mindset
Comfortable identifying uncomfortable truths
Autonomous and fast-moving
Enterprise-aware, not just technically strong
Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 RAG SOC 2 ISO 27701 ISO 27017

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do

Design and lead adversarial testing of LLM and AI-driven systems
Conduct threat modelling across model, infrastructure and data layers
Execute and oversee testing for:
Prompt injection
Jailbreaking
Model exploitation
Data leakage / extraction
RAG system manipulation
Translate findings into structured, audit-ready documentation
Map vulnerabilities and remediation pathways to:
ISO 27001 controls
SOC 2 Trust Service Criteria
ISO 27701 privacy controls
ISO 27017 cloud security controls
Partner closely with engineering, security, and compliance functions
Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

What We’re Looking For

Core Technical Depth

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Strong Python proficiency

Enterprise Security & Governance Fluency

Experience working within ISO 27001 environments
Practical knowledge of SOC 2 Trust Service Criteria
Understanding of ISO 27701 privacy extensions
Familiarity with ISO 27017 cloud security controls
Ability to map technical findings to control frameworks

Communication & Documentation

Ability to produce clear, structured, audit-friendly documentation
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Who You Are

Systems thinker
Curious and adversarial in mindset
Comfortable identifying uncomfortable truths
Autonomous and fast-moving
Enterprise-aware, not just technically strong
Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security - Solutions Architect

Cato Networks

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Node.JS

+3 more

Job Description

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.

In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.

This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.

Responsibilities

Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others).
1+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence).
Proven experience in customer-facing roles (e.g., solutions engineering or product management), with a track record of translating customer needs into product feedback, integrations, and end-to-end solutions - Advantage
B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit.

Why join us

Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact.
This is a unique opportunity to combine deep technical expertise with a highly customer-facing role.
You’ll work on some of the most complex and dynamic customer scenarios, designing and delivering tailored solutions.
This role offers significant impact, constant learning, and the chance to shape both customer outcomes and product direction.

Requirements

5+ years of hands-on programming in Python, Node.js, or Go
1+ years working with AWS, Kubernetes, and RDS
Proven experience in customer-facing roles
B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Node.JS Go AWS Kubernetes RDS

Software Engineer, Responsible AI

Google

Full Time

$147k - $211k

2 days ago

Worldwide

Senior

C++

API design

Stubby

+3 more

Job Description

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with coding in C++, or 1 year of experience with an advanced degree.
1 year of experience with application programming interface (API) design.
1 year of experience with reliability analysis.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
2 years of experience with Stubby.
2 years of experience with server platform.
2 years of experience with Pod.
2 years of experience with TypeScript.

About the job:

In this role, you will focus on developing Responsible AI Infra at Google and will be working on full-stack infrastructure and collaborating across teams to drive fast and frictionless responsible AI journeys across Google.

As a part of the Storage and Users (SU) Ecosystem team, your focus is to provide Responsible AI (RAI) solutions including Trust and Safety (T&S) and Provenance to product teams at Google, making it a top priority effort. You will also serve the actual RAI capabilities, while the SU Ecosystem team aims to provide self-serviceable, well-lit user journeys that involve discovery and onboarding for various developers and clients of these RAI capabilities. You will have a tremendous impact on various model launches in Google DeepMind's Beyond platform, ensuring that they serve users responsibly.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities:

Engineer the Responsible AI (RAI) serving infrastructure by providing a dedicated, low-latency RAI service for Beyond.
Develop APIs and underlying features for the RAI serving infra.
Ensure all T&S signals have defined Service Level Objectives (SLOs), proactively managing the reliability and high-availability requirements of critical RAI components.
Deploy the Unified Provenance Service to support Google's compliance with various regional AI regulations across the globe, and launch Google’s proprietary SynthID watermark and industry-standard C2PA signals to indicate generative content and enhance the company's commitment to Responsible AI.
Build a Content Registry to store fingerprints of generated media for tracking content origin in order to enable Google to serve user complaints' likeness claim validation.

Requirements

Bachelor’s degree or equivalent practical experience
2 years of experience with coding in C++, or 1 year of experience with an advanced degree
1 year of experience with application programming interface (API) design
1 year of experience with reliability analysis
Master's degree or PhD in Computer Science, or a related technical field
2 years of experience with Stubby
2 years of experience with server platform
2 years of experience with Pod

Benefits

401k Matching
Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

C++ API design Stubby server platform Pod TypeScript

Data & AI Governance Operations Specialist (PMO)

Booking.com

Full Time

2 days ago

United States

Mid

Job Description

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world

About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through:

An overarching Data & AI Policy to include associated standards
Data & AI Governance including meta and master data management
Data & AI Delivery Governance
Data & AI Quality including both technical and business quality measures

This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies.

Role Description: Data & AI Governance Operations Specialist possesses a strong Data & AI Governance and project management background. They have excellent communication skills, with demonstrated experience leading medium to large projects, They have solid experience assessing business needs, developing the implementation strategy and leading end-to-end activities for Data & AI Governance initiatives.

The role is responsible to work with senior stakeholders, as well as across Global/Regional/Site responsibilities. The role works with teams representing multiple sub-departments, and sometimes other departments within Booking.com as well. They are responsible for the success of the projects they lead, including but not limited to: requirements gathering and needs analyses, getting buy-in for concepts from senior-level stakeholders, end to end plan, risks and dependencies identification and management, presentations of findings & requests for support, leading the project team, administration of the project documents & supporting meetings, as well as constant alignment of their initiatives to the goals of Booking, the Data & AI Governance department, and the teams they work with. They are challenged to learn & adapt to new tools & technologies as a part of being a champion of change. This role supports the high velocity of change and enables an agile development environment where releases are frequency & impact many layers of the organization

This role may also get involved in running a strategy workstream from problem definition to delivering a solution including the implementation strategy or execute change management initiatives and communications plans.

Key Job Responsibilities and Duties:

Data and AI Governance:

Data Stewardship: Manage and define Data Ownership and Stewardship structures, ensuring clear accountability and proper onboarding of data stewards.
Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, and standards to ensure consistent and effective governance practices.
Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks.
Data & AI Governance Practices: Oversee data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements.

Project Management:

Craft Methodology and Standards: Apply structured methodology to and lead project/change management activities.
E2E Project Management: Lead independently End-to-end (E2E) low/medium [Project/Workstream] and/or support high complexity [Project] from scoping to execution, analysis, recommendation and implementation.
Project Initiation and Planning: With limited supervision, drives the program scoping and planning working with different teams and creating associated documentation.
Project Implementation and Completion: Drive project plan execution, ensuring project objectives are met on agreed timelines, track and report progress and ensure a project closing and correct handover to Business as usual.
Project Governance: With limited supervision design and implement project governance and delivery structure to ensure efficient delivery, communication and decision making
Delivery/Impact: Drive the progress and successful delivery or initiatives that bring value to the business.
Stakeholder Management: Primary point of contact for Project(s) related queries. Ability to work and productively interact with different stakeholders up to Senior Managers and Senior Director Level
Success Metrics: Define and measure the success metrics of the Project(s) in scope.
Facilitator: Lead independent workshops to support the delivery of the Project(s)
Project Management Tooling: Utilize Atlassian Jira and Confluence to manage project workflows, track progress, and collaborate effectively across teams.
Change Management: Apply change management methodologies, with a understanding of the change curve and process, to guide teams through transitions and ensure smooth adaptation to changes.

Role Qualifications and Requirements:

2+ years of experience around Data Governance, or, alternatively, 3+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background
3-5 years or relevant project management experience
PMP or Agile Project Management or equivalent certification is preferred.

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
Working in a fast-paced and performance driven culture
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Diversity, Equity and Inclusion (DEI) at Booking.com:

Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process:

Let’s go places together: How we Hire
This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Benefits

Equity
Paid Time Off

Skills

Information Security Specialist (US) - AI Security Architect

Full Time

$98.16k - $159.27k

2 days ago

United States

Senior

Azure Security Engineer

Microsoft Cybersecurity Architect

CISSP

+4 more

Job Description

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

Pay Details:

$98,160 - $159,270 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Technology Solutions

Job Description:

The AI Security Architect defines, develops and/or implements Technology Controls / Information Security related policies, programs, tools and provides specialized expertise and guidance on assessing risks, identifying potential gaps and providing security solutions to mitigate risks and protect the Bank. Participates on projects of moderate to high complexity and provides complex reporting, analysis, and assessments at the functional, business line or enterprise level for own area.

This role is responsible for designing, implementing, and governing security architectures for enterprise AI platforms and services. This role serves as the subject matter expert for securing Microsoft's AI and Copilot ecosystem and for developing Security Technical Implementation Guides (STIGs) and hardening standards to ensure compliant, secure deployment of AI solutions across regulated environments. The Architect partners with security engineering, cloud platform teams, compliance, and legal stakeholders to enable the safe and responsible adoption of AI technologies while maintaining strong risk management and regulatory alignment.

Depth & Scope:

Participates on complex, comprehensive or large projects and initiatives
Acts as a lead expert resource in technology controls / information security for project teams, the business / organization and/or outside vendors
Has advanced knowledge of organization, technology controls / security/ risk issues

Education & Experience:

Bachelor's degree preferred
Information security certification / accreditation an asset
7+ years of relevant experience
Expert knowledge of IT security and risk disciplines and practices

Preferred Qualifications:

Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.).
3+ years focused on cloud security architecture.
\Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs.
Demonstrated experience as a Cloud Security Architect or Security Engineer with direct ownership over platform hardening standards or STIG development.
Extensive technical knowledge of Microsoft cloud and AI platforms.
Familiarity with compliance frameworks impacting AI security (e.g., NIST, ISO, CIS Benchmarks, etc.).
Lead the security architecture design for AI platforms and services across the Microsoft ecosystem.
Develop, maintain, and publish STIGs and security baselines for AI services, including configuration standards, risk controls, validation steps, and continuous compliance guidance.
Security controls defined should include:
- Model access controls
- Data ingestion and indexing security
- Prompt and content filtering
- Training dataset governance
- Logging and monitoring
- Model endpoint exposure
- API security
- Identity, authorization, and tenant isolation
- Supply chain and tool-assisted development workflows
Author and manage security architecture frameworks for enterprise AI use cases as well as risk assessments for GenAI systems.
Ensure control mapping aligned with NIST, CIS Benchmarks, and TD standards.
Serve as the security authority on:
- Azure AI Search
- Azure OpenAI
- Azure Content Safety
- Azure Machine Learning
- Microsoft Foundry
- Microsoft 365 Copilot
- M365 Copilot Studio
- GitHub Copilot
Build secure design patterns for AI workloads.
Provide hands-on security guidance and architecture reviews for AI and GenAI pilots and production deployments.
Partner with engineering teams to embed security by design into CI/CD pipelines.
Review AI solutions for compliances with enterprise security policies, responsible AI principles and data protection and privacy requirements.
Conduct security assessments of new AI services and releases prior to enterprise approval.

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

Domestic Travel – Occasional
International Travel – Occasional
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment - Continuous
Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
Moving safely in confined spaces – Occasional
Lifting/Carrying (under 25 lbs.) – Occasional
Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at [email protected]. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Requirements

7+ years of relevant experience
Expert knowledge of IT security and risk disciplines and practices
Bachelor's degree preferred
Information security certification / accreditation an asset
Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.)
3+ years focused on cloud security architecture
Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Azure Security Engineer Microsoft Cybersecurity Architect CISSP CCSP Python Java Cloud Security

Senior Model Validation Associate – Liquidity and Market Risk

Santander

Full Time

$108.75k - $200k

2 days ago

United States

Senior

Quantitative models

Risk Management

Model Risk Management

+4 more

Job Description

Senior Model Validation Associate – Liquidity and Market Risk

Country: United States of America

It Starts Here:

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:

As a Sr Associate in Risk Modeling, you play a critical role in strengthening the Company’s model risk management program by ensuring quantitative models are conceptually sound, well-governed, and aligned with regulatory expectations and industry best practices. You contribute expert insight into market conditions, emerging risks, and future trends while promoting a strong risk culture and helping the organization proactively identify, manage, and mitigate model risk across the enterprise.

Position Summary

Lead and execute model risk management activities and projects in alignment with the Enterprise MRM framework, regulatory guidance, and industry best practices.
Develop and enhance methodologies, tools, and approaches for identifying, assessing, and managing model risk across interest rate, liquidity, credit, and market risk models.
Evaluate model conceptual soundness, key assumptions, data integrity, and overall design to ensure models are fit for purpose.
Perform independent testing of models, including numerical, statistical, and computational accuracy, outcomes analysis, and review of governance and control processes.
Proactively identify gaps, weaknesses, or emerging concerns in existing processes, policies, procedures, and frameworks, and support timely remediation.
Monitor model-related activities to minimize the Company’s exposure to model risk through quantitative analysis, risk identification, and remediation efforts.
Communicate complex risk modeling topics, findings, and recommendations to senior management to improve decision-making, efficiency, and risk reduction.
Support regulatory compliance and the Company’s reputation by ensuring adherence to legal, regulatory, and internal standards related to model risk management.

What You Bring:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education

Bachelor’s Degree in Mathematics, Physics, Statistics, or a related quantitative field, or equivalent work experience – Required.
Master’s Degree in Mathematics, Physics, Statistics, or a related quantitative field – Preferred.

Experience

9+ years of experience in model risk management covering Interest Rate Risk, Liquidity Risk, Credit Risk, and/or Market Risk – Required.
Hands-on experience assessing and validating term structure models, prepayment models, credit loss models, Market Risk Rule models, and ALM frameworks – Required.
Demonstrated experience with stress testing methodologies and practices – Required.
Strong understanding of front-to-back risk management processes, including risk identification, assessment, mitigation, governance, monitoring, testing, and capital calculation – Required.
Working knowledge of the banking regulatory environment and its impact on risk management practices – Required.
Proven ability to lead complex, cross-functional projects related to quantitative risk modeling – Required.
Experience supporting regulatory examinations, audits, or model risk remediation initiatives.
Exposure to emerging risk trends and evolving regulatory expectations within financial services.

Skills

Advanced quantitative analysis and practical modeling expertise.
Proficiency in Python, SAS, R, and MATLAB.
Strong knowledge of interest rate, liquidity, credit, and market risk modeling techniques.
Model validation, outcomes analysis, and control assessment capabilities.
Stress testing and scenario analysis techniques.
Risk governance, reporting, and monitoring methodologies.

Strong communication and presentation skills with the ability to convey complex concepts to senior stakeholders.
Excellent project management and organizational skills.
Strong negotiation and influencing abilities.
High attention to detail and sound professional judgment.
Ability to promote and reinforce a strong risk management culture.
Adherence to the Code of Conduct, assigned Risk Tolerance or Mandates, and all organizational policies and procedures applicable.

Certifications:

No Certifications listed for this job.

It Would Be Nice For You To Have:

Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Experience in Microsoft Office products.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

$108,750.00 USD

Maximum:

$200,000.00 USD

We Value Your Impact:

Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.

Working Conditions:

Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at [email protected] to discuss your needs.

Requirements

Bachelor's Degree in Mathematics, Physics, Statistics, or a related quantitative field
Master's Degree in Mathematics, Physics, Statistics, or a related quantitative field
Experience with model risk management and validation
Strong understanding of liquidity and market risk
Ability to communicate complex risk modeling topics to senior management

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Training Budget

Skills

Quantitative models Risk Management Model Risk Management Liquidity Risk Market Risk Python Statistical Analysis

VP, AI Compliance Officer

Morgan Stanley

Full Time

$108k - $185k

2 days ago

United States

Worldwide

Senior

Artificial Intelligence

Generative AI

Machine Learning

+3 more

Job Description

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance Officer in Wealth Management Compliance to provide second-line oversight, advisory support, and governance for Artificial Intelligence initiatives, including Generative AI, partnering closely with senior business, legal, risk, and technology stakeholders to enable responsible innovation while meeting regulatory and firm requirements.

In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the Innovation, Platforms and Communications Compliance team, which is responsible for providing compliance advice, governance, and oversight for analytics, data, artificial intelligence, generative AI, and platforms activities within Wealth Management.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

> Advise Wealth Management Generative AI and Platforms teams on AI governance, strategy, data usage, and oversight requirements.
> Review Artificial Intelligence and Machine Learning models and Generative AI, to assess compliance with regulatory rules related to Artificial Intelligence, Consumer Protection, Standards of Care, and Communications with the Public.
> Assess AI against heightened risk considerations, including conflicts of interest, and recommend appropriate controls and mitigations.
> Establish and support ongoing monitoring and testing controls in coordination with Compliance Monitoring and Testing teams.
> Collaborate with Policy and Training teams to draft, implement, and maintain compliance policies and training governing the use of AI technologies.
> Participate in Wealth Management, Firmwide, and Compliance governance committees and forums.
> Prepare management reporting, metrics, and dashboards to inform senior management of key initiatives, risks, and control effectiveness.
> Support regulatory inquiries, internal audits, and examinations (e.g., SEC, FINRA, Internal Audit), including remediation and post-exam action plans.

What you'll bring to the role:?

> Ability to provide compliance advisory support in a second line of defense role for platforms artificial intelligence, and Generative AI initiatives.
> Understanding of regulatory requirements, industry standards, and firm policies related to Artificial Intelligence, predictive analytics, and communications with the public.
> Experience reviewing and assessing traditional Artificial Intelligence, Generative AI and Large Language Models.
> Experience collaborating with business, legal, risk, technology, and model risk management stakeholders.
> Strong analytical, organizational, and attention-to-detail skills, with the ability to manage multiple priorities in a fast-paced environment.
> Demonstrate capacity to work independently and make informed decisions.
> Bachelor's degree in Business, Computer Science, Engineering, Statistics, Mathematics, Risk Management, or a related field.

Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $108,000.00 and $185,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Requirements

Ability to provide compliance advisory support in a second line of defense role for platforms artificial intelligence, and Generative AI initiatives.
Understanding of regulatory requirements, industry standards, and firm policies related to Artificial Intelligence, predictive analytics, and communications with the public.
Experience reviewing and assessing traditional Artificial Intelligence, Generative AI and Large Language Models.
Experience collaborating with business, legal, risk, technology, and model risk management stakeholders.
Strong analytical, organizational, and attention-to-detail skills.

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options

Skills

Artificial Intelligence Generative AI Machine Learning Python Compliance Regulatory

Sr. Applied Scientist, Trust CX Innovations&AI Policy

Amazon

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Generative AI

LLMs

prompt engineering

+5 more

Job Description

Alexa+ is Amazon’s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+.

A Senior Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases.

You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.

Key job responsibilities
• Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities
• Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning
• Pioneer new methods for AI safety, alignment, and responsible AI development
• Design and execute sophisticated experiments to evaluate model performance and behavior
• Lead the development of production-ready AI solutions that scale efficiently
• Collaborate with product teams to translate research innovations into practical applications
• Guide engineering teams in implementing AI models and systems at scale
• Author technical papers for top-tier conferences
• File patents for novel AI technologies and applications

A day in the life
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.

About the team
Who We Are:
Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.
Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Requirements

Lead research initiatives in generative AI
Develop innovative approaches for model optimization
Pioneer new methods for AI safety, alignment, and responsible AI development
Design and execute sophisticated experiments to evaluate model performance and behavior
Lead the development of production-ready AI solutions that scale efficiently
Collaborate with product teams to translate research innovations into practical applications
Guide engineering teams in implementing AI models and systems at scale
Author technical papers for top-tier conferences

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Employee Assistance Program
Employee Discounts

Skills

Generative AI LLMs prompt engineering Multimodal models Few-shot learning Efficient fine-tuning Natural Language Understanding Dialog Management

Senior Manager, Quantitative Analysis - Model Risk

Capital One

Full Time

$229.9k - $262.4k

2 days ago

United States

Worldwide

Senior

Python

Machine Learning

Cloud Computing

+3 more

Job Description

Senior Manager, Quantitative Analysis - Model Risk

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

As a Senior Manager, Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of Economic forecasting models, stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Responsibilities:

Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Develop alternative model approaches to assess model design and advance future capabilities
Understand relevant business processes and portfolios associated with model use
Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:

Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers
Drive to continuously improve all aspects of their work in a collaborative fashion
Experience in machine learning
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs
Experience working with Agile development methodologies
Strong grasp of econometric theory and methodologies
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:
- A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience in quantitative analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience in quantitative analytics

At least 5 years of experience in each of the following skills through education or experience:
- Statistical or econometric modeling
- Linear and logistic regression
- Programming in R, Python, or SQL
- Presenting statistical concepts and research results to non-statistical audience

At least 5 years of experience in at least 3 of the following skills:
- Survival analysis modeling
- Time-series analysis
- Panel data (longitudinal data or cross-sectional time-series data) analysis
- Cross-sectional data analysis
- Machine learning
- Analysis and management of large datasets (>1M records)

Preferred Qualifications:

6 years of experience with Python, R or other statistical analyst software
6 years of experience in statistical modeling or regression analytics or machine learning
2 years of experience managing people

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Sr Mgr, Quantitative Analysis

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Requirements

Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Develop alternative model approaches to assess model design and advance future capabilities
Understand relevant business processes and portfolios associated with model use
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Python Machine Learning Cloud Computing Econometric Modeling Statistical modeling Model Estimation

Senior Consultant, AI Risk Management

CIBC

Full Time

$120,000 - $180,000*

2 days ago

Canada

Worldwide

Senior

Machine Learning

Risk Management

+3 more

Job Description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What You’ll Be Doing

The Enterprise AI Governance Office (AIGO) within the Enterprise Advanced Analytics and AI Hub at CIBC is responsible for ensuring that all AI activities at CIBC are governed in accordance with the Enterprise AI Framework and its associated processes and standards. AIGO develops, operationalizes, and continuously improves AI governance practices to manage AI-related risks, ensure regulatory readiness, and enable responsible innovation across the bank.

This Senior Consultant, AI Risk Management will support CIBC’s AI risk management practices by conducting and reviewing AI risk assessments, developing effective AI risk mitigation plans in partnership with business teams and other risk control groups, and by providing AI risk advisory services to the enterprise. The position will be responsible for ensuring that all AI solutions across the organization are appropriately risk-assessed, as required by the Enterprise AI Framework. The Sr. Consultant will work collaboratively with technology and business teams, control groups, audit, and oversight bodies to ensure that all CIBC AI Governance requirements are adhered to and are effective in managing AI-related risks.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How You’ll Succeed

Champion Trustworthy AI in solving business problems - Work with business units to understand their AI Governance needs, opportunities, and pain points. Work with risk and control teams to ensure AI related risks are adequately managed. Focus on relationship building and become a trusted partner for AI Governance within the bank. Contribute to the development of AI risk management thought leadership and related educational resources both within the organization and externally.
Ensure AI Solutions are managed and delivered in a governed manner - Work with AI development, technology, and risk/control/compliance teams in identifying, assessing, and mitigating AI-related risks in accordance with AI risk management best practices, tools and techniques to comply with governance requirements and accelerate CIBC’s leadership in ethical and responsible use of AI. Develop AI-related risk mitigation controls with key partners and assist with ongoing risk reporting and risk reviews for the Enterprise.
Translate Research into Actionable Insights - Monitor, research, and report on the latest trends and developments around AI risk management. Help ensure that all AI risk management processes, tools, and techniques are inclusive of the requirements necessary to meet the growing demands and advancements in AI by suggesting and making changes to the current state.
Ignite Innovation, Drive Execution - Work as an internal consultant to drive results through the application of "governed" AI solutions. Provide support and help drive adoption of AI Governance across the organization by developing strategy and success metrics. Manage and participate in all AI Governance related bodies and committees.

Who you are

You demonstrate technical fluency in AI/ML. You understand predictive modeling, NLP, computer vision, and generative AI, and you’ve worked across the production lifecycle assessing controls and evidence in regulated environments.
You securely navigate AI risk frameworks and regulation. You’re fluent with NIST AI RMF, ISO/IEC AI risk standards (e.g., 23894, 42001), and model risk expectations in financial services, and you translate them into pragmatic, auditable controls.
You uphold Trustworthy AI as a core principle. You apply data protection, fairness and bias mitigation, explainability, security-by-design, and third‑party risk practices to safeguard clients and the bank, and to support positive outcomes for society.
You communicate with clarity and influence across diverse stakeholders. You distill complex topics clearly for diverse audiences, build strong partnerships, and drive outcomes through stakeholder management and influence without formal authority.
You value professional accreditation and relevant education. You hold a degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics, Risk Management). Certifications such as IAPP AIGP, ISO/IEC 42001, ISO/IEC 23894, CertNexus CEET, IEEE CertifAIEd, or IAPP CIPT are assets.
Values matter to you. You bring your authentic self to work and live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Artificial Intelligence (AI), Artificial Intelligence Ethics, Cloud Governance, Governance Framework, Machine Learning (ML), Regulatory Compliance, Risk Management, Risk Management and Mitigation

Requirements

Conduct and review AI risk assessments
Develop effective AI risk mitigation plans
Provide AI risk advisory services
Ensure all AI solutions are appropriately risk-assessed
Work collaboratively with technology and business teams
Ensure all CIBC AI Governance requirements are adhered to

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget

Skills

AI Machine Learning Risk Management Governance Compliance Regulatory Readiness

Risk Manager – Model Validation

Fidelity International

Full Time

$80,000 - $140,000*

2 days ago

Germany

Worldwide

Mid

Model Validation

Risk Management

Model Development

+5 more

Job Description

About the Opportunity

Job Type: Permanent

Application Deadline: 30 April 2026

Title Risk Manager – Model Validation

Department FIL Fondsbank (FFB)

Location Kronberg i.Ts., Germany

Reports To Head of 2nd Line Risk Management

Level Mid level

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our FFB Risk team and feel like you’re part of something bigger.

About your team :

Our Risk Management team is dedicated to ensuring the stability and security of our bank by identifying, assessing, and managing risks. With a strong focus on regulatory compliance, we proactively develop strategies for risk mitigation and ensure that our bank always maintains adequate capital buffers.

About your role :

In this role, you will act as an independent 2nd Line validation function, ensuring that all models used across FIL Fondsbank (FFB) are subject to a robust and consistent validation cycle. You will validate FFB’s risk model landscape, which primarily consists of simple to medium‑complexity models across several risk types (Market Risk, Credit Risk, Liquidity Risk, IRRBB, Business Risk, Pension Risk, ICAAP, including stress testing, and EUC‑based models).

You will help to ensure that FFB maintains a robust, well‑documented, audit‑ready model environment aligned with MaRisk, CRR/KWG and internal governance standards.

Key responsibilities :

Maintain and further enhance FFB’s Model Inventory, including risk classification and validation cycle.
Conduct independent validations covering model purpose, data quality, methodology, implementation logic, and testing of key assumptions and outputs, while maintaining clear separation from model development and ownership
Prepare clear, decision‑oriented validations, present results to FFB governance (e.g., Executive Committee) including model approval recommendations and use restrictions and set minimum content for Validation Reports.
Support EUC governance, including capturing and assessing EUCs, applying control standards, and assisting model owners with compliance requirements.
Contribute to continuous improvement of the model lifecycle processes (change management, documentation standards, decommissioning) and maintain high‑quality templates, guidance documents, and validation procedures
Support audits and regulatory reviews conducted by BaFin, Deutsche Bundesbank, and Internal Audit.
Support a good model risk culture through guidance and collaboration with 1st line model owners

About you :

You bring strong expertise in model validation and are comfortable operating in a regulatory environment. The ideal candidate should have:

3–5 years of experience in model validation, model risk management, or a closely related quantitative risk function within banking or asset management.
Degree in a quantitative discipline (e.g., Mathematics, Statistics, Econometrics, Computer Science, Physics) or equivalent experience.
Strong understanding of regulatory expectations for model governance, including MaRisk, CRR/KWG and EBA/ECB guidance.
Ability to analyze and understand a broad range of model types, including OpRisk, credit, market, liquidity, IRRBB, ICAAP, stress testing, and EUC‑based models.
Proven ability to produce high-quality documentation, meeting German supervisory expectations and communicate validation outcomes clearly to senior stakeholders.
Hands‑on proficiency with Python (preferred) and/or R; experience with version control, reproducible analysis, and data visualization.
Ability to exercise independent judgement and maintain objectivity in challenging model owners and stakeholders.
Strong written and verbal communication skills in English and German.
High integrity, curiosity, and resilience; a pragmatic, delivery‑focused mindset.

Feel rewarded :

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. :

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Please note we are committed to providing equal opportunities to all candidates, regardless of background, religion, sexual orientation or identity. We value diversity and strive to create an inclusive environment where every individual can thrive and contribute with their unique skills.

Requirements

Maintain and further enhance FFB's Model Inventory
Conduct independent validations
Prepare clear, decision-oriented validations
Support EUC governance
Contribute to continuous improvement of the model lifecycle processes
Support audits and regulatory reviews
Support a good model risk culture

Benefits

Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Model Validation Risk Management Model Development Data Quality MaRisk CRR/KWG Model Ownership Methodology

AI Governance Operations Specialist (f/m/d)

UNIQA

Full Time

$100,000 - $150,000*

2 days ago

Worldwide

Senior

Data governance

Regulatory Compliance

+5 more

Job Description

Competencies: Effektive Lösungen finden; Mut; Verantwortungsbewusst handeln; Vertrauen schaffen

Als eine der führenden Versicherungen wissen wir, dass wir gemeinsam mehr bewegen können. Bei UNIQA sind wir deshalb die Gemeinschaft für ein besseres Leben. Wir nutzen unsere individuellen Fähigkeiten, um zusammen eine bessere Zukunft zu gestalten. Erzähle uns von deinen Stärken und bewirb dich als AI Governance Operations Specialist (f/m/d).

Wir, das Team Group Data & AI, sind eine Gruppe von motivierten, kreativen und innovativen Daten & AI-Enthusiast:innen mit Expertise in verschiedenen Themengebieten. Unser Ziel ist es UNIQA fit für die digitale Transformation zu machen.
Wir inspirieren unsere Kolleg:innen in dem wir gemeinsam mit den Fachbereichen an innovativen Daten- und AI-Lösungen arbeiten und diese auch umsetzen. Gleichzeitig formen wir mit Standards und Guidelines verbindliche Vorgaben und Best Practices zum korrekten Umgang mit Daten und AI im Konzern.

Bist du neugierig zu sehen, wie sich erfolgreicher Einsatz von KI mit der Einhaltung aller regulatorischen Vorgaben verbinden lässt? Du stellst unsere AI Governance operativ sicher, begleitest innovative AI Use Cases dabei den Mehrwert von AI rechtskonform entfesseln zu können. Als Teammitglied bei AI Governance trägst Du aktiv zur Verbesserung und Weiterentwicklung von Vorgaben, Tools und Templates bei, um die kontinuierliche Verbesserung unserer AI Governance Prozesse sicherzustellen.

Das erwartet dich:

Du stellst die operative AI Governance für lokale (AT) und Gruppenprojekte mit innovativen KI-Lösungen sicher

Du begleitest und berätst die Fachbereiche bei AI Use Cases durch den gesamten AI Governance Prozess

Du verbesserst und entwickelst Best Practices, Templates und Tools zur operativen Umsetzung der Data- und AI-Governance in Zusammenarbeit mit dem AI Governance Lead für die UNIQA Gruppe

Du bist Teil eines agilen Teams, das Innovationen für die UNIQA Gruppe vorantreibt und dabei die Einhaltung regulatorischer Anforderungen sicherstellt. Unser Ziel ist es – durch den Einsatz von Daten und KI – Innovationen zu fördern und dabei stets compliant zu bleiben

Du koordinierst und führst selbstständig AI-Assessments und das Backlog Management durch

Wir erwarten uns:

Abgeschlossenes Studium mit rechtlichem Hintergrund oder mehrjährige, konkrete Berufserfahrung im regulatorischen Umfeld (z.B. Wirtschaftsprüfung, Beratung, Audit, Compliance, Risikomanagement)

Kenntnisse des AI-Act und der GDPR von Vorteil

Grundverständnis von Urheberrecht, Vertragsrecht, Produkthaftungs- und Schadenersatzrecht von Vorteil

Erfahrung und Interesse an neuen Technologien, wie KI und Chatbots erwünscht

Strukturierte, zielorientierte Arbeitsweise, Freude an der Zusammenarbeit im Team sowie ausgeprägte Eigeninitiative

Hervorragende Englisch- und Deutschkenntnisse in Wort und Schrift sowie die Fähigkeit, juristische Texte zu interpretieren

Selbstorganisation, Time Management und aktive Nutzung moderner Office Tools

Wir bei UNIQA leben Vielfalt und setzen bewusst auf unterschiedliche Perspektiven in unseren Teams und Führungspositionen. Daher sind Bewerbungen, die unsere Vielfalt bereichern, ausdrücklich willkommen. Bei Fragen zur Barrierefreiheit wende dich bitte an die im Inserat genannte Ansprechperson auf der rechten Seite.

Du bist dir nicht sicher, ob dein Profil unseren Anforderungen entspricht? Bewirb dich trotzdem! UNIQA sucht nach Kandidat:innen mit Ambition, Mut zur Veränderung und Begeisterungsfähigkeit!

Benefits: Ein Onboarding-Plan, Willkommensveranstaltungen sowie ein Buddy-System ermöglichen dir einen optimalen Start; Flexible Arbeitszeiten und kurze Kernzeiten ermöglichen dir einen flexiblen Arbeitstag; Im Büro steht dir eine vergünstigte DO&CO Kantine zur Verfügung und auch im Home-Office erhältst du eine finanzielle Essensstütze; Impfaktionen, Vorsorgeuntersuchungen und Blutspendeaktionen werden laufend vor Ort angeboten. Gratis & anonyme Coachingeinheiten bei privaten und beruflichen Herausforderungen; Modernes & helles Büro mit Pausenzonen im Herzen der Stadt sowie moderne IT-Ausstattung ermöglichen eine gute Zusammenarbeit; Möglichkeit, aus dem Home-Office zu arbeiten und ein finanzielles Starterpaket zur individuellen Nutzung; Ob Sommerfest, After Work auf der Dachterrasse oder Punsch im Winter - es gibt viele Möglichkeiten sich zu vernetzen und gemeinsam zu feiern; Remote Work innerhalb der EU: Arbeite jährlich bis zu 20 Tage aus einem EU-Land deiner Wahl; Stressfrei zur Arbeit: Optimale Erreichbarkeit mit öffentlichen Verkehrsmitteln; Unterstützung durch den Betriebsrat – profitiere von vielfältigen Zuschüssen und Angeboten; Vergünstigte Versicherungen und ein Firmenzuschuss bieten dir eine gute Absicherung, zusätzlich können Gutscheine von Supermärkten, Parfümerien, Möbel- und Bauhäusern und vieles mehr erworben werden; Wir bieten dir verschiedene Weiterbildungsmöglichkeiten, um beruflich und persönlich zu wachsen; Wir übernehmen 50% deines Öffi-Jahrestickets

Requirements

Abgeschlossenes Studium mit rechtlichem Hintergrund
Mehrjährige, konkrete Berufserfahrung im regulatorischen Umfeld
Kenntnisse in Daten- und KI-Governance
Fähigkeit, komplexe Probleme zu analysieren und Lösungen zu entwickeln
Sehr gute Kommunikations- und Teamfähigkeiten
Fähigkeit, sich schnell an neue Herausforderungen anzupassen
Kenntnisse in Daten- und KI-Sicherheit

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

AI Data governance Regulatory Compliance Risk Management Data Science Machine Learning Python SQL

Cloud & AI Governance Manager

Barclays

Full Time

$120,000 - $180,000*

2 days ago

United Kingdom

Worldwide

Senior

Cloud

API

+3 more

Job Description

Purpose of the role

To support the Risk Function in delivering it’s objective of safeguarding the bank's financial and operational stability by proactively identifying, assessing, mitigating, and monitoring risks across various business units and activities.

Accountabilities

Development of strategic direction for risk, including the implementation of up-to-date methodologies and processes.
Management of the risk department, including oversight of risk colleagues and their performance, implementation of risk priorities and objectives, oversight of department efficiency and effectiveness.
Relationship management of risk stakeholders, including identifying relevant stakeholders, and maintenance of the quality of external third-party services.
Adherence to the Risk policy, standards and frameworks, and maintaining a robust control environment.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

Join us as a Cloud and AI Governance Manager and be part of a growing team, that is working with senior stakeholders up to board level and using the latest technologies. As part of Cloud Governance, the role will report to Head of Tech Governance.

To be successful as a Cloud and AI Governance Manager, you should have experience with:

Essential Skills

Organising and Leading Technology Governance Fora
Cross Functional Stakeholder Communication and Coordination
Governance Artefact Design Proficiency

Desirable Skills

AI / GenAI / Cloud Understanding
Attention to Detail and Accuracy
Proficient in MS Office – PPT, Excel, Word

Purpose of the role

To coordinate, manage, and ensure the effective functioning of the Group Cloud and AI Governance forums in support of the broader Tech Governance framework. This role is responsible for facilitating high standards of accuracy, compliance, and operational efficiency in all governance activities.

Accountabilities

Ensure the Cloud Adoption Forum operates efficiently, consistently, and to a high standard of accuracy in line with the agreed ToR.
Issue minutes, decisions, and communications in line with agreed messaging, structure, and SLA as defined in the ToR and Head of guidance.
Own and manage the detailed agenda, ensuring the standing agenda, required inputs, and decision items are consistently covered.
Ensure all forum artefacts (packs, reports, minutes, records, and outputs) are complete, accurate, and meet the expectations of the forum and the Head of.
Maintain and evolve forum pack templates in line with agreed standards, expectations, and feedback.
Enforce adherence to the forum design, operating model, and ToR, with particular focus on voting rights, quorum, and delegated authority.
Ensure decisions, approvals, actions, and outcomes are clearly recorded and traceable.
Identify, document, and escalate any deviations from agreed governance processes, procedures, or operating standards to the Head of for sign‑off.
Distribute forum packs sufficiently in advance of meetings to support informed discussion and effective decision‑making.
Support the Chair and Head of by providing assurance that CAF governance is operating as intended and remains inspection‑ready.

This role is based in Knutsford or London.

Requirements

Develop strategic direction for risk
Manage risk department
Relationship management of risk stakeholders
Adhere to Risk policy, standards and frameworks
Maintain a robust control environment
Advise and influence decision making
Contribute to policy development
Take responsibility for operational effectiveness

Benefits

Certification Support
Company Retreats
Conference Budget
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
401k Matching

Skills

Cloud AI API Risk Management Compliance Governance

VP, Model Monitoring (L12)

Synchrony

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Machine Learning

Data Analysis

+4 more

Job Description

Job Description:

Role Title: VP, Model Monitoring (L12)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview:

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

Role Summary/Purpose:

The VP, Model Monitoring is a role (Including People Management) within India Analytics Hub (IAH), operating under the Decision Management, reporting to the Model Monitoring Lead in US, is a key stakeholder in the ongoing risk oversight of deployed customer and non-customer facing models across the organization. This role serves as a subject matter expert in model monitoring best practices and governance standards, ensuring early identification of model risk through data-driven diagnostics and analyses. Leveraging advanced analytics, visualization tools, and regulatory understanding, this role ensures models remain robust, interpretable, and aligned with evolving business and regulatory expectations—ultimately safeguarding the integrity of the firm’s model risk management lifecycle.

Key Responsibilities

Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations.
Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny.
Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.
Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions
Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making
Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite.
Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency.
Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework.
Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement.
Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

Perform other duties/special projects as assigned

Required Skills & Knowledge

8+ years of of experience model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting. Strong technical proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.
Solid understanding of model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift.
Ability to synthesize complex technical findings into business-friendly communications and recommendations.
Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations.
Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.
Working knowledge of performance drift metrics, stability indicators, and key model health metrics.
Demonstrated ability to synthesize technical insights into business-aligned narratives and actionable recommendations.
Proven project management capabilities with experience leading multiple monitoring initiatives in parallel.
Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling, or consumer lending..

Desired Skills & Knowledge

Exceptional verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling.
Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models.
Strong project management and leadership skills to achieve specific goals within a defined timeline and budget.
Familiarity with modern machine learning models, explainability techniques (e.g., SHAP, LIME), and MLOps frameworks.
Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels.
Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).
Technical experience with exploratory data analysis, statistical modeling, machine learning, and generative AI.

Eligibility Criteria:

8 to 12 years of experience with Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 8+ years’ experience OR, in lieu of degree, and 10 to 12 years relevant work experience in model analytics, monitoring and validation.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

Understand the criteria or mandatory skills required for the role, before applying
Inform your manager or HRM before applying for the role on Workday
Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format)
Must not be any corrective action plan (First Formal/Final Formal, LPP)
L10 + Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible
L10+ Employees can apply

Grade/Level: 12

Job Family Group:

Data Analytics

Requirements

Support the development and execution of the model monitoring roadmap
Lead performance oversight for high-impact models
Build, mentor, and manage a high-performing analytics team
Drive complex performance investigations
Ensure models remain robust, interpretable, and aligned with evolving business and regulatory expectations
Foster a culture of innovation, accountability, and continuous learning
Prioritize monitoring efforts based on risk, materiality, and business impact
Ensure the right models receive the right level of scrutiny

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Python Machine Learning Data Analysis Model Monitoring Advanced Analytics Visualization Tools Regulatory Understanding

VP, AI Compliance Officer

Morgan Stanley

Full Time

$108k - $185k

2 days ago

United States

Worldwide

Senior

Artificial Intelligence

Generative AI

Machine Learning

+3 more

Job Description

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

TEXAS
Expected base pay rates for the role will be between $108,000.00 and $185,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

MARYLAND

Salary range for the position: $95,000 and $165,000 per year The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Requirements

Ability to provide compliance advisory support in a second line of defense role for platforms artificial intelligence, and Generative AI initiatives.
Understanding of regulatory requirements, industry standards, and firm policies related to Artificial Intelligence, predictive analytics, and communications with the public.
Experience reviewing and assessing traditional Artificial Intelligence, Generative AI and Large Language Models.
Experience collaborating with business, legal, risk, technology, and model risk management stakeholders.
Strong analytical, organizational, and attention-to-detail skills.

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options

Skills

Artificial Intelligence Generative AI Machine Learning Python Compliance Regulatory

AI Governance & Security Specialist

Bulls Media

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data security & privacy

Access control and permissions

API integrations

+5 more

Job Description

AI Governance & Security Specialist

Own and enforce AI governance, policies, and tool control across the company, ensuring secure, compliant, and efficient AI adoption while managing risks related to data, integrations,

Key Responsibilities

Define and enforce AI governance policies and standards
Set guidelines for tools, data usage (PII, sensitive data), and integrations
Evaluate and approve AI tools and use cases (risk, data exposure, permissions)
Own security aspects: access control, data protection, and compliance
Build and manage AI onboarding and approval processes
Monitor usage, ensure compliance, and conduct audits
Work with IT, R&D, and business teams on safe AI adoption
Track AI initiatives, risks, and dependencies

Technical Knowledge

Data security & privacy (PII, sensitive data handling)
Access control and permissions
API integrations, data flows, and third-party data exposure risks
Understanding of SaaS environments and external tool risks
Familiarity with AI tools
Experience with AI/ML tools and use cases - advantage
Cybersecurity, compliance, or IT risk background - advantage
Experience with automation tools (Make, Zapier) - advantage

Key Competencies

Strong ownership and ability to enforce processes
High attention to detail (risk & data)
Strong communication skills
Ability to work in a fast-paced environment

Why Join Us

Lead AI governance in a global company
Build and own a critical function from the ground up
Work with leadership and multiple teams
Direct impact on innovation, efficiency, and security

Requirements

3+ years of experience in IT roles (systems, infrastructure, or security) — not only project management
Strong understanding of IT architecture, SaaS ecosystems, APIs, and integrations
Solid knowledge of IT security principles, data protection, and risk management practices
Experience working with cross-functional teams (IT, R&D, business)
Proven ability to manage IT projects/processes, including coordination, prioritization, and follow-up across multiple stakeholders
Location - Tirana

Requirements

3+ years of experience in IT roles
Strong understanding of IT architecture
Solid knowledge of IT security principles
Experience working with cross-functional teams
Proven ability to manage IT projects/processes
Coordination
Prioritization
Follow-up across multiple stakeholders

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Flexible Hours
Gym Membership
Home Office Budget
Learning Budget

Skills

Data security & privacy Access control and permissions API integrations Data flows Third-party data exposure risks SaaS environments External tool risks AI tools

AI Security Engineer

Deloitte

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

AWS

Azure

GCP

+5 more

Job Description

AI Security Engineer

We are seeking an experienced and highly skilled AI Security Engineer to join a dynamic team of AI Security engineers in Israel. This critical role will be responsible for designing, building, and maintaining robust security controls for our Artificial Intelligence (AI) and Machine Learning (ML) systems and their underlying platforms. The successful candidate will proactively identify and mitigate unique security risks associated with the AI/ML lifecycle, including model integrity, data poisoning, adversarial attacks, and system robustness. This is a highly technical role that will design, code and deploy AI security solutions to support our company’s AI initiatives.

Key Responsibilities

● Design and implement end-to-end security controls for the entire ML/AI pipeline, from data ingestion and model training to deployment and production monitoring. This includes:

○ Security reference architectures for various AI deployment patterns, including MCP/Agentic AI.

○ Control deployment to ensure model integrity and governance, ensuring proper access control (RBAC/ABAC) to models and feature stores.

○ AI tooling to improve and automate overall cybersecurity posture across the board, including the entire incident management lifecycle, vulnerability management, 3rd party Risk, and managing emerging AI threat vectors.

● Collaborate with data scientists and software engineers to integrate security best practices into the AI development lifecycle, including secure model training, validation, and deployment.

● Support security engineers in the evaluation of AI systems being developed and implemented. Conduct threat modeling specific to AI/ML systems, identifying vulnerabilities related to data poisoning, model evasion, extraction, and integrity.

● Research and Innovate: Stay abreast of the latest advancements in AI security, conduct research, and contribute to the development of innovative security solutions.

Requirements

Required Qualifications:

● Experience: Minimum of 3 years in Information Security, with at least 1+ years focused on securing AI/ML systems. Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation is critical in this role.

● Education (Preferred): Minimum BA/BS degree. Advanced degree (Masters, PhD) in Computer Science, Data Science, Cyber Security, or a related quantitative field is preferred.

● Technical Expertise:

○ Deep understanding of the ML/AI lifecycle and its associated security risks.

○ Expertise in cloud security platforms (AWS, Azure, or GCP) and services related to AI/ML (e.g., SageMaker, Vertex AI).

○ Strong knowledge of data security principles, including encryption, masking, and tokenization.

○ Deep understanding of AI specific threats, including adversarial ML, data poisoning, prompt injection and model inversion and inference attacks and associated defensive measures

○ Strong knowledge of application security architecture best practices and architecture patterns

○ Strong coding experience in AI relating languages such as Python/Go

○ Familiarity with containerization and orchestration technologies and AWS

● Certifications (Preferred): Relevant security certifications such as CISSP, CSSLP, or specialized AI security certifications.

● Knowledge of AI related security related frameworks and standards

Soft Skills:

● Excellent communication skills, with the ability to translate complex security concepts into clear requirements for both technical and non-technical audiences.

● Proven ability to work collaboratively across diverse teams (Data Science, Engineering, Product, Cybersecurity).

● Strong problem-solving skills and a proactive approach to emerging AI security challenges.

Description Hebrew

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Requirements Hebrew

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Requirements

Minimum 3 years in Information Security
Experience in analyzing systems and identifying security and abuse problems
Threat modeling and remediation
Cloud security platforms (AWS, Azure, or GCP) and services related to AI/ML (e.g., SageMaker, Vertex AI)
Strong knowledge of data security principles
Deep understanding of AI specific threats

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

AWS Azure GCP SageMaker Encryption Cloud Security Platforms Vertex AI Data Security Principles

AI Governance Technical Expert (ISO/IEC 42001)

RSI Security

Contract

$120,000 - $180,000*

4 days ago

Worldwide

Senior

ISO/IEC 42001

AI Lifecycle Governance

Data governance

+4 more

Job Description

WE ARE HIRING

AI Governance Technical Expert (ISO/IEC 42001)

Location: 100% Remote – Global

Type: Contracted / Project-Based / Potential Permanent

Pay: Competitive; Based on experience and authorized technical scope

Travel: Minimal (Remote audit model; periodic participation in accreditation body witness audits when assigned)

About Us:

RSI Security is a leader in cybersecurity compliance and conformity assessment. We operate an independent Certification Body (CB) aligned with ISO/IEC 17021-1 requirements and are currently pursuing accreditation for ISO/IEC 42001 (Artificial Intelligence Management Systems). We maintain strict separation between our certification and advisory entities to protect the integrity and independence of every audit. Our mission is to build a rigorous, globally respected AI governance certification program that ensures AI Management Systems (AIMS) are assessed with impartiality and technical depth.

About the Role:

As an AI Governance Technical Expert, you will support ISO/IEC 42001 certification audits by providing specialized subject-matter expertise related to AI lifecycle governance, data governance, and model oversight. This is a Certification Body support role and is distinct from consulting, advisory, implementation, or audit leadership functions. Technical Experts supplement audit team competence but do not independently determine conformity, grade nonconformities, sign audit reports as Audit Team Leader, or participate in certification decisions. You will contribute structured technical analysis to audit teams evaluating AI lifecycles, including design, development, validation, deployment, monitoring, and decommissioning within SaaS and enterprise environments.

Technical Experts may pursue formal auditor authorization through RSI’s documented competence and authorization framework. Any transition to an auditor role requires full completion of competence evaluation, training, witness audit requirements, and formal authorization prior to performing audit or certification decision activities.

What You’ll Do

Provide Technical Lifecycle Expertise: Support audit teams in evaluating AI governance controls across the lifecycle, including model governance, data governance, human oversight, and risk integration.
Review Technical Artifacts: Analyze technical documentation, system descriptions, governance frameworks, validation records, and lifecycle evidence to provide structured input to the Audit Team Leader.
Participate in Audit Interviews: Contribute domain expertise during interviews related to AI model development, validation practices, monitoring controls, and enterprise governance structures.
Support Risk-Based Evaluation: Assist in assessing alignment with ISO/IEC 23894 AI risk management principles and integration into lifecycle governance processes.
Operate Within Impartiality Guardrails: Comply with RSI’s formal independence and conflict-of-interest controls, including cooling-off requirements and periodic attestations.
Engage Under Oversight: Participate in accreditation body witness audits when assigned, demonstrating technical competence under structured external oversight.

Competence & Authorization

Authorization as a Technical Expert is granted through RSI’s documented competence evaluation and authorization framework. Candidates will undergo structured evaluation of:

AI Technical & Lifecycle Competence: Demonstrated understanding of AI lifecycle stages, model governance concepts, data governance principles, and risk-based AI oversight.
Sector / Contextual Competence: Familiarity with SaaS / Enterprise AI governance environments, including enterprise IT governance structures and organizational oversight models.
Independence Verification: Completion of conflict-of-interest screening and confirmation of no prohibited advisory involvement.
Ongoing Monitoring: Performance review by Audit Team Leaders, quality review of technical input, and periodic independence attestation.

Technical Experts are authorized within defined technical categories and sector scopes. Assignment shall not occur outside authorized domains.

What You’ll Bring

Experience: 7+ years in AI governance, data governance, model risk management, cybersecurity governance, enterprise risk, or related technical oversight functions.
AI Governance Depth: Strong understanding of AI lifecycle stages, model validation practices, data lifecycle controls, documentation governance, and human oversight mechanisms.
Enterprise Context Awareness: Familiarity with SaaS architectures (high-level), enterprise IT governance structures, and organizational AI oversight frameworks.
Structured Analytical Thinking: Ability to evaluate evidence objectively and provide disciplined, audit-support input rather than advisory recommendations.
Professional Integrity: Commitment to independence, impartiality, and operating within clearly defined role boundaries.

Why Join RSI?

You will be joining one of the emerging leaders building ISO/IEC 42001 certification capabilities globally. We offer a 100% remote work environment, access to structured audit workflow tools, and a culture that values technical precision and ethical independence above all else.

RSI Security is an Equal Opportunity Employer. We prioritize competence, qualifications, and the integrity of the certification process in all hiring decisions.

Requirements

Provide technical lifecycle expertise
Review technical artifacts
Participate in audit interviews
Support risk-based evaluation
Operate within impartiality guardrails
Maintain strict separation between certification and advisory entities

Benefits

Flexible Hours
Remote Work
Professional Development

Skills

ISO/IEC 42001 AI Lifecycle Governance Data governance Model Oversight AI Risk Management validation records lifecycle evidence

AI Governance Lead Auditor (ISO/IEC 42001)

RSI Security

Contract

$120,000 - $180,000*

4 days ago

Worldwide

Senior

ISO/IEC 42001

Audit Methodology

Artificial Intelligence Management Systems

+1 more

Job Description

WE ARE HIRING

AI Governance Lead Auditor (ISO/IEC 42001)

Location: 100% Remote – Global

Type: Contracted / Project-Based / Potential Permanent

Compensation: Competitive; Based on experience and authorization scope

Travel: Minimal (Remote audit model; periodic participation in accreditation body witness audits)

About Us

We maintain strict separation between our certification and advisory entities to protect the integrity and independence of every audit. Our mission is to build a rigorous, globally respected AI governance certification program that ensures AI Management Systems (AIMS) are assessed with impartiality and technical depth.

About the Role

As an AI Governance Lead Auditor, you will lead independent certification audits of client Artificial Intelligence Management Systems (AIMS) against ISO/IEC 42001. This is a dedicated Certification Body role and is distinct from consulting, advisory, or implementation activities. You will lead audit teams in evaluating complex AI lifecycles, including training, validation, deployment, monitoring, and decommissioning.

Your role is to evaluate objective evidence and determine conformity to ISO/IEC 42001 requirements. Audit conclusions directly inform the independent Certification Decision process. Certification decisions are made by a separate, authorized function to preserve impartiality and comply with ISO/IEC 17021-1 requirements. Depending on competence and authorization status, this role may also include service as an independent Certification Decision Maker for engagements in which the individual did not participate as an auditor.

What You’ll Do

Lead Rigorous Certification Audits: Plan and execute Stage 1 and Stage 2 audits, applying the specialized requirements of ISO/IEC 42006. This includes risk-based sampling and the evaluation of AI risk management integration (ISO/IEC 23894).
Navigate the AI Lifecycle: Assess governance effectiveness across the entire AI pipeline, identifying and grading nonconformities with precision and technical depth.
Uphold Impartiality Guardrails: Operate under RSI’s formal impartiality controls. This includes strict adherence to "cooling-off" periods for former advisory clients and regular conflict-of-interest attestations to safeguard the CB’s independence.
Engage with Accreditation Oversight: Participate in periodic accreditation body witness audits, demonstrating audit methodology and technical competence under external oversight as part of our accredited certification activities.

Competence & Authorization

Authorization to perform audits at RSI is a formal status granted through our documented competence evaluation and authorization framework. Candidates will undergo a structured review of:

Technical Domain Expertise: Proven knowledge of AI architectures, data governance, and model validation.
Standard Mastery: Proficient application of ISO/IEC 17021-1, 42001, and 42006.
Performance Monitoring: Continuous authorization is maintained through ongoing performance monitoring, including workpaper reviews and witnessed audit evaluations.

What You’ll Bring

Experience: 7+ years in GRC, cybersecurity, or management system assessment. Proven experience leading audit teams and managing complex client stakeholders is essential.
Certifications: ISO/IEC 42001 Lead Auditor certification is preferred. Candidates with active ISO Lead Auditor credentials (such as ISO 27001 or 9001) and demonstrated AI governance experience will be considered, provided they are prepared to obtain ISO/IEC 42001 authorization.
Technical Acumen: A deep understanding of AI lifecycle governance, SaaS/Enterprise AI architectures, and the nuances of algorithmic bias and impact assessments.
Integrity: A commitment to the "Certification Mindset"—valuing objective evidence and professional skepticism over advisory-style problem-solving.

Why Join RSI?

RSI Security is an Equal Opportunity Employer. We prioritize competence, qualifications, and the integrity of the certification process in all hiring decisions.

Requirements

Lead independent certification audits
Evaluate complex AI lifecycles
Assess governance effectiveness
Uphold impartiality guardrails
Engage with accreditation oversight
Maintain strict separation between certification and advisory entities

Benefits

Flexible Hours
Remote Work
Professional Development

Skills

ISO/IEC 42001 Audit Methodology Artificial Intelligence Management Systems Technical competence

Financial Crime Model Validation Manager

Crowe LLP

Full Time

$102.8k - $210.2k

4 days ago

Worldwide

Senior

Data Analysis

Business Analysis

Data Management

+5 more

Job Description

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

Financial Crime Model Validation Manager

The Financial Crime Model Validation Manager is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, fraud detection and watchlist screening/interdiction systems.

Responsibilities will include designing and/or updating testing strategies (e.g., creation of or enhancement to risk and control matrices) which will aid in the independent testing of these systems. Testing could include control conceptual design testing, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients.

Testing in the Model Validation domain will include:
Review of model governance, including processes surrounding their effectiveness
Critical challenge of model design and development
Testing of data inputs, including data quality issues, data mapping, ETL processes, balancing and reconciliation controls, data lineage, throughput, and backtesting
Testing that the model logic is working as intended
Assessment of model user access controls, key performance indicators (KPIs), and alert review processes
Evaluation of model performance, including tuning and sanctions sensitivity testing
Documentation of testing using standardized work papers and model validation reports and other client deliverables
Engagement Management: provide oversight and guidance to the testing team for efficient engagement delivery, maintain engagement budget, provide timely reporting of engagement progress to the client and engagement executive.

Qualifications:

Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
4+ years of experience within the Financial Crime industry.
4+ years of model validation, AML system implementation, data lineage, or quality testing experience.
Basic knowledge of the software development lifecycle.
Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.
Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers.
Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others.
Demonstrated experience and knowledge of banking and compliance systems.
Demonstrated experience working in a results-driven environment within a team environment.
Strong organizational, interpersonal, and presentation skills.
Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.
Highly effective verbal and written communication skills and the ability to interact with all levels of management.
Strong teamwork, communication, and customer service skills.
Strong analytical, attention to detail, organizational, and core project management skills.
Possesses knowledge of the challenges of data cleansing and integration.
Ability to work with IT and business personnel.
Travel as required by client needs.

Preferred:

Prior professional services/consulting firm experience
Experience with data extraction and analysis tools such as SQL/Python.
Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

#LI-JB1 #FinancialCrime #GoCrowe

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

The application deadline for this role is 04/24/2026.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,800.00 - $210,200.00 per year.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation

Requirements

Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
4+ years of experience within the Financial Crime industry.
4+ years of model validation, AML system implementation, data lineage, or quality testing experience.
Basic knowledge of the software development lifecycle.
Demonstrated experience with data analysis, business analysis, and model validation.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Professional Development

Skills

Data Analysis Business Analysis Data Management Analytics Finance Computer Science Management Information Systems Statistics/Mathematics

Research Scientist, AI Controls and Monitoring

Scale AI

Full Time

$197.4k - $246.75k

4 days ago

Worldwide

Senior

Machine Learning

Generative AI

Python

+5 more

Job Description

Scale Labs, Research Scientist — AI Controls and Monitoring

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.

Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.

As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might:

Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;
Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;
Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;
Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation.

Ideally you’d have:

Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.
A track record of published research in machine learning, particularly in generative AI.
At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

Experience with runtime monitoring, anomaly detection, or observability for ML systems.
Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate).
Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$197,400—$246,750 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Requirements

Commitment to promoting safe, secure, and trustworthy AI deployments
Practical experience conducting technical research collaboratively
Designing control and monitoring experiments for AI systems
Building prototype systems
Quickly turning new ideas from the research literature into working prototypes
A track record of published research in machine learning
Strong written and verbal communication skills to operate in a cross-functional team
Experience with runtime monitoring, anomaly detection, or observability for ML systems

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Machine Learning Generative AI Python Research Debugging Prototyping AI Control Alignment Research

Principal AI Security Engineer

Lumen Technologies

Full Time

$149.084k - $218.657k

4 days ago

Worldwide

Senior

AI/ML systems

Governance

Model Risk Management

+5 more

Job Description

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world.

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future.

The Role

The Principal AI Security Engineer is responsible for designing, governing, and advancing Lumen’s enterprise AI security program and internal AI‑driven security capabilities and innovations. This role operates at the intersection of AI/ML systems, cybersecurity architecture, governance, advanced defensive capability development, and innovation.

In addition to ensuring the secure deployment of AI technologies, the role emphasizes proactive security and AI‑specific risk reduction by spearheading AI vulnerability management initiatives, conducting regular penetration tests, and identifying potential threats before they impact the organization. The engineer will lead efforts to detect, assess, prioritize, and remediate vulnerabilities unique to AI/ML environments—including model, data, supply chain, and operational risks—ensuring that AI systems remain resilient as threats evolve.

A critical aspect of this position includes developing and maintaining enterprise AI governance frameworks that guide secure architecture, responsible use, lifecycle management, and regulatory alignment. This role also oversees AI risk management practices, including risk assessments, control design, evaluation of emerging threats, and continuous monitoring to ensure AI systems operate securely, ethically, and in compliance with internal and external standards.

Location

This is a remote position open to candidates based anywhere in the U.S. and Canada.

The Main Responsibilities

Lead enterprise-wide initiatives to continuously identify, assess, and remediate vulnerabilities across AI/ML systems, including models, data pipelines, and runtime environments. Oversee the development and execution of vulnerability scanning, penetration testing, and red-teaming exercises specific to AI technologies.
Architect and enforce comprehensive AI security governance structures that align with Responsible AI guidelines, regulatory mandates, and organizational risk appetite. Develop policies, standards, and approval processes that ensure full lifecycle oversight of AI/ML systems, supporting auditability, transparency, and accountability in all AI operations.
Direct identification, evaluation, and mitigation of risks inherent to AI/ML deployments. Lead risk assessments, threat modeling, and scenario analysis to anticipate potential weaknesses and prioritize mitigation strategies.
Spearhead proactive threat intelligence, detection, and response initiatives targeting AI/ML environments. Develop and operationalize advanced monitoring and analytics to uncover emerging threats, adversarial attacks, and anomalous behaviors unique to AI workloads.
Engineer, implement, and maintain layered security controls, reference architectures, and control baselines that address vulnerabilities, enforce governance, and mitigate risks throughout the AI/ML stack
Integrate automated discovery, authoritative inventory, and lineage tracking solutions to maintain continuous visibility and enforce policy across AI development and production environments, ensuring rapid identification and remediation of security gaps.
Align all AI security capabilities with comprehensive governance frameworks and enterprise security policies, supporting regulatory compliance, audit readiness, and responsible innovation.
Design and build internal tools, automation, and processes that enhance vulnerability detection, threat intelligence, and risk assessment specific to AI/ML environments.
Drive the adoption of emerging technologies, methodologies, and frameworks that strengthen Lumen’s ability to anticipate, detect, and respond to AI-specific security challenges.

What We Look For in a Candidate

AI & ML Security

Deep understanding of AI/ML systems, including model training, inference pipelines, orchestration frameworks, and agent based systems.
Expertise in AI specific threat classes, including prompt injection, data leakage, data poisoning, model extraction, adversarial inputs, and jailbreak techniques.
Experience securing generative AI, multimodal models, and agentic AI systems in enterprise environments.

Security Engineering

Proven experience implementing enterprise scale security solutions spanning cloud, containers, CI/CD, and runtime environments.
Strong grounding in vulnerability management, remediation workflows, and risk based prioritization, including AI specific vulnerabilities.
Ability to translate security architecture and governance requirements into enforceable technical controls.
Experience in application and automation development for security tooling and integration

General Requirements for Senior AI Security Roles:

15+ years in cybersecurity, with significant experience in security and advanced threat domains
Demonstrated leadership as a principal level or enterprise architect, influencing standards and strategy without direct authority
Strong understanding of Responsible AI, data classification, lineage, and compliance considerations
Ability to communicate complex AI security concepts to engineering teams, executives, and governance bodies
Experience operating in large, federated enterprise environments with complex cloud and DevOps ecosystems

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges:

$149,084 - $198,779 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY.
$156,539 - $208,718 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI.
$163,993 - $218,657 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA.

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

#LI-Remote

What to Expect Next

Requisition #: 341652

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

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Requirements

Lead enterprise-wide initiatives to continuously identify, assess, and remediate vulnerabilities across AI/ML systems
Oversee the development and execution of vulnerability scanning, penetration testing, and red-teaming exercises specific to AI technologies
Architect and enforce comprehensive AI security governance structures that align with Responsible AI guidelines, regulatory mandates, and organizational risk appetite
Develop policies, standards, and approval processes that ensure full lifecycle oversight of AI/ML systems, supporting auditability, transparency, and accountability in all AI operations
Direct identification, evaluation, and mitigation of risks inherent to AI/ML deployments
Lead risk assessments, threat modeling, and scenario analysis to anticipate potential weaknesses and prioritize mitigation strategies
Spearhead proactive threat intelligence, detection, and response to emerging AI threats

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI/ML systems Governance Model Risk Management Data Pipelines cybersecurity architecture advanced defensive capability development runtime environments vulnerability scanning

Pharmacist and Chain Pharmacy Operations Expert - AI Evaluation Project

Full Time

$80,000 - $160,000*

5 days ago

Worldwide

Senior

Machine Learning

Data Science

+5 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 4 weeks

Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

What You’ll Do

Create realistic, first-person prompts based on real job workflows
Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
Ensure prompts are clear, structured, and aligned with real occupational responsibilities
Review and refine tasks to ensure accuracy, realism, and completeness
Follow structured guidelines for prompt writing and evaluation
Collaborate with remote teams working on AI training and evaluation projects

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
For pharmacist profiles: Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats
Good written English communication skills
Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget
Professional Development
Training Budget
Wellness Programs

Skills

AI Machine Learning Data Science Python English Pharmacy Retail Operations Customer Service

Pharmacist and Chain Pharmacy Operations Expert - AI Evaluation Project

Full Time

$80,000 - $160,000*

5 days ago

Worldwide