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 Validation AVP, where you will validate and approve risk models at inception, during usage changes, and through periodic and annual reviews. This role operates within the risk function and focuses primarily on retail credit models including credit cards and loan portfolios. You will independently review model documentation, perform testing and analysis, and clearly report findings to demonstrate model soundness and regulatory alignment. This role offers broad exposure across multiple model types and high impact validation work.

To be successful as a Model Validation AVP, you should have:

• Experience in risk model validation, model development, or quantitative modeling within financial services

• Experience validating retail credit risk models such as credit cards and consumer loans

• Understanding of model risk management frameworks, governance, and regulatory expectations

Some other highly valued skills may include:

• Ability to perform detailed analysis, testing, and independent challenge of models

• Written communication skills with experience producing clear and thorough validation documentation

• Quantitative discipline preferred

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

This role is based out of Wilmington, DE.

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

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.

• 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.

• 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

• 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

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

• 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

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.

• 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.

• 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

• 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

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

• 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

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

• 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.

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:

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.

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.

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

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.

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:

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.

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 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.

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

About the Opportunity

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.

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

Employment Type

Weekly Hours

Skills

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.

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.

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.

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).

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).

Work Location:

Hours:

Pay Details:

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:

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.

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:

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.

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

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.

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

Requirements Hebrew

WE ARE HIRING

AI Governance Technical Expert (ISO/IEC 42001)

About Us:

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.

WE ARE HIRING

AI Governance Lead Auditor (ISO/IEC 42001)

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 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?

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.

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.

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.

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.

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

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.

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

• 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.

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

• 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.

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

• 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.

Our organization

The Alberta Securities Commission (ASC) is the industry-funded regulator responsible for administering the province's securities laws. It is entrusted with fostering a fair and efficient capital market in Alberta and with protecting investors. As a member of the Canadian Securities Administrators (CSA), the ASC works to improve, coordinate and harmonize the regulation of Canada's capital markets.

The Information Technology (IT) team is responsible for making sure that the ASC has the appropriate resources necessary to ensure the consistent, reliable and secure delivery of services, and understanding and anticipating the organization’s unique technology requirements.

The opportunity

Reporting to the Manager, Enterprise Information, Data and AI, the Data and AI Governance Specialist will support the development and implementation of data policies, standards, and practices including the responsible use of AI. This role helps assess the impact of data on business processes and systems, identify opportunities to deliver new and innovative data solutions, facilitate data and data management activities as well as AI governance and risk assessments.

Key responsibilities include

Data Governance

• Working with the Manager, Enterprise Information, Data and AI to lead or participate in the design and ongoing improvement of enterprise-wide governance frameworks for data, information and records.
• Lead, facilitate and coordinate tactical governing bodies.
• Establish and maintain standards and guidelines for data quality, security, and privacy.
• Maintain comprehensive documentation on activities, decisions, and outcomes.
• Collaborate with various departments on data governance objectives and standards and foster a culture of data stewardship, consistency, ethical data use, and accountability across the ASC.
• Recommend and integrate governance approaches for structured data and unstructured content.
• Conduct AI and data governance risk assessments to identify ethical, legal, privacy and reputational risks.
• Identify and recommend KPIs and success metrics and manage governance requirements for system implementation and migrations.
• Facilitate or participate in data and AI governance committees and working groups.

 AI Governance & AI Risk Management

• Building on the data governance framework, design and update AI governance policies, standards and processes.
• Lead the development and delivery of AI literacy programming and training to support informed and responsible AI adoption.
• Develop monitoring mechanisms to support oversight of AI use, compliance, and regulatory obligations.

Data Quality, Lifecycle Management, Compliance & Risk

• Conduct data quality assessments and collaborate with data engineers to resolve issues.
• Develop and maintain a comprehensive data catalog documenting data assets, lineage and usage and ensure accuracy of metadata.
• Monitor compliance with data privacy, security, quality, and retention requirements and produce related reports, dashboards and risk summaries.
• Automate applicable governance processes and data life cycle management including retention and archiving using MS Purview.

The ideal candidate will possess

• A diploma or university degree in computer science, information technology, or computer engineering.
• A minimum of 8 to 10 years of progressive experience in data management, risk management, data governance and related solutions.
• A least 3 years specializing in AI governance, framework design, and solution implementation is preferred.
• Relevant professional certifications are considered assets, including Microsoft Azure role-based, Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP), Data Governance and Stewardship Professional (DGSP), AI Governance Professional (AIGP) etc.
• Strong knowledge of implementing data governance tools, metadata management and associated processes.
• Direct experience with cloud services, particularly Azure and of enterprise repository, data modeling, data mapping, and data profiling tools.
• Excellent communication and presentation skills, with the ability to influence business and technical stakeholders.
• Proven organizational skills, including attention to detail, the ability to manage multiple priorities, and excellent critical thinking, analytical, and decision‑making skills.
• Experience in change management and driving adoption of data governance practices.

To apply

Click the Apply for This Job Online button to submit your resume, cover letter and salary expectations by April 3, 2026. This position will work out of the ASC office located in Calgary, Alberta. You will be contacted if you are selected for an interview. More information about working at the ASC including our comprehensive Total Rewards package can be found on our website at www.asc.ca.

We offer a hybrid work environment and flexibility, a competitive total rewards package consisting of 100 per cent employer-paid benefits, comprehensive health and dental, employee life insurance, short-term and long-term disability; retirement benefits; travel insurance; paid vacation time, flex and sick days; an employee family assistance program; transportation allowance, generous flexible spending account and professional development through subsidized courses, conference, workshops, seminars and in-house training. We also encourage fun and giving back to the community with initiatives offered through our ASC Social Club and annual United Way Campaign. 

The ASC is an equal opportunity employer and encourages applications from all qualified individuals. We celebrate diversity and are committed to providing an inclusive work environment where every employee feels valued and respected.

Job Description:

Role Title: Manager, Model Risk Management (L9)

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 AmbitionBox 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, for all to take up leadership roles.

Organizational Overview: Synchrony's Risk Team provides independent oversight of Synchrony’s risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony’s Second Line of Defense.  

Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges.

Enterprise Risk provides oversight on Synchrony-wide initiatives and projects and manages issues, risk assessment & reporting, risk monitoring activities, policy standards and procedure framework for governance documents.
 

Role Summary/Purpose

The Manager, Model Validation is responsible for model validation focusing on Loss/reserve/recovery/ forecast to Customer facing credit risk/Fraud risk models (Account acquisition and Account management) , and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. .

Key Responsibilities

• Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges.

• Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues.

• Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics.

• Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation.

• Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management

• Support in additional book of work or special projects as in when required.

Required Skills/Knowledge

• Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

• 2+ years of experience in developing/validating credit models with statistical tools like SAS, Python, SQL, etc.

• 2+ years of experience using large data sets for statistical and ML modeling within the banking or financial industry. Understanding of quantitative analysis methods or approaches in relation to credit models

• Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark, SAS, SQL, AWS, Data Lake to perform statistical analysis and manage complex or large amounts of data and 4+ years of relevant experience in lieu of a degree

Desired Skills/Knowledge

• Knowledge of Credit Card/Consumer Finance products and business model.

• Strong knowledge of Regulatory requirements for MRM (SR 11-7 regulation) with proven track records of delivering Regulatory requirements.

• 2+ years in MRM in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline

Eligibility Criteria:

Bachelor’s degree with 2+ years of hands-on modeling experience in customer facing models such as credit, fraud, marketing or loss forecasting models or lieu of a degree 4+ Years of relevant exeprience.

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 and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (Formal/Final Formal)

• L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible

• L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible

• Employees at L4+ are eligible to apply for this opportunity

Grade/Level: 9

Job Family Group:

About the role:

PwC is rapidly scaling its market leading Responsible AI (RAI) practice in the UK as client demand accelerates across sectors. As a Manager in our RAI team, you will lead workstreams that help organisations design, build and deploy AI that is trusted, ethical and compliant. You will work at the intersection of emerging technology, risk management and regulation, supporting clients to operationalise AI governance, implement practical controls and embed “trust by design” across the AI lifecycle, including GenAI and agentic AI. This new role supports our growing practice and offers strong opportunities for rapid progression.

What your days will look like:

We are seeking a Manager to lead client workstreams that ensure AI is developed and deployed ethically, safely and in line with emerging regulation. This role sits at the intersection of technology, governance and risk, offering the opportunity to shape how organisations build trust in AI and accelerate responsible adoption.

• Lead RAI client engagements, supporting clients to establish governance, operating models, policies and controls for AI at scale.

• Assess AI use cases and development practices to identify gaps (e.g., governance, bias/fairness, transparency, privacy, security) and recommend pragmatic improvements.

• Translate Responsible AI principles and regulatory expectations into actionable delivery guidance across the AI and product lifecycle.

• Produce or oversee key artefacts such as AI risk assessments, governance documentation, model testing outputs (bias/robustness/explainability), and evidence packs for assurance/audit.

• Collaborate with data science, engineering and cyber teams to implement technical guardrails, monitoring and incident processes for AI systems (including GenAI).

• Contribute to model evaluations and control design (e.g., explainability, robustness, fairness, human oversight, monitoring/observability).

• Manage delivery quality, plan and run client workshops, and communicate complex AI risks and mitigations clearly to technical and non-technical stakeholders.

• Contribute to a rapidly growing, high profile practice with strong opportunities for progression.

This role is for you if:

• You have worked in consulting, technology, risk or transformation roles for 5+ years, with experience leading workstreams and managing stakeholders

• Experience supporting AI governance, model risk, data governance, compliance, assurance, or technology risk, ideally with exposure to Responsible AI concepts (fairness, transparency, accountability, privacy, safety).

• Regulatory and standards awareness: Working knowledge of relevant regulation and frameworks (e.g., EU AI Act trajectory, GDPR, NIST AI RMF, ISO/IEC 42001).

• Analytical problem solving: Comfortable working with technical topics and evidence (model documentation/testing, controls, monitoring), with strong structured thinking and attention to detail.

• Communication: Strong written and verbal communication; able to translate technical issues into clear business implications and recommendations.

• GenAI exposure: Familiarity with GenAI/LLM risks and mitigations (e.g., guardrails, prompt/design controls, monitoring, human-in-the-loop) is preferred

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

We are looking for you, if you:

• have a quantitative degree and experience in Data Analytics,

• are a Risk professional with hands-on Risk Reporting experience in SAS MRM tool, Python coding or equivalent custom tools/products,

• have automation experience in Python/VBA

• have experience in quantitative analysis, report design and execution,

• you are design thinking and process oriented person ready to contribute in reporting landscape improvement changes

• Data Quality governance and monitoring experience

• Ensure features delivery (Planning, coordination, dependencies management):

  • you are and feel responsible for the end-to-end integration and realization of the solution change delivery work (across teams). You oversee progress and coordinate the dependencies and address impediments across the whole chain,

  • you identify (and manage) risks and potential issues and offer improvements across teams,

  • you identify and manage dependencies for features and epics across different teams.

• Ensure complex Model Risk Management initiatives are translated into business requirements, specifically requirements for reporting measures to enhance MoRM steering mechanism:

  • you are able to translate new procedures, reporting needs into required model inventory solution and requirements,

• are results-oriented, committed to high standards and quality of work,

• have an excellent English verbal and writing skills,

• are a good listener and interviewer, receptive to the feedback from the stakeholders,

• are prepared to travel occasionally,

• have strong analytical and problem-solving capabilities,

• You can communicate effectively with both peers and senior stakeholders

• are transparent, open-minded and value diversity and inclusion.

• In-depth knowledge of Model Risk Management Framework principles

You'll get extra points for:

• Agile environment experience

• Operational agile in Power BI or other data visualization platforms

• you think and act globally and grasp business opportunities or identify pain points to be addressed

• you highlight correlation and dependencies between squads within different parts of the organization

• Have strong project management skills to lead long term initiatives under a program setup

• Have strong stakeholder management skills, including experience managing communication and influencing senior stakeholders. Good listener and interviewer, receptive to the feedback from the stakeholders

• are enthusiastic, communicative, flexible and you are an excellent team player.

Your responsibilities:

• Design, develop, and implement model risk reporting measures, including enhancements to existing metrics

• Leading and contribution in workgroup, streams for project execution

• Knowledge sharing with reporting process contributors

• Propose reporting enhancements and reporting function capabilities increase

• Preparation, execution, and analysis of model inventory landscape reports

• Contribute to the ING entities efforts in responding and reporting to regulatory bodies, collecting requirements for designing dashboards and reporting tools

• Support/Guide local model community in execution of the model life cycle activities and steering model risk measures at portfolio level

• Data quality assurance contribution within global model data inventory, by monitoring execution through reporting process

• Performing an in-depth model risk metrics analysis and reporting

• Active collaboration and assistance with model risk inventory enhancements

Information about the chapter:

Model Risk Oversight (MRO) is responsible for the design and implementation of ING’s global Model Risk Management (MoRM) framework and tooling across all models used within ING Bank worldwide. The tribe aims to proactively manage model risks by guiding global and local communities in the execution of the model lifecycle activities, performing effective and efficient 2nd Line of Defence (LoD) challenge and oversight across ING’s model landscape, monitoring and reporting on model risks. MRO is an energetic, international team of highly qualified Model Risk Experts, Business Analysts, and Data Analysts/Programmers. MRO is developing and rolling out the new Model Risk Management (MoRM) framework which scope covers all models used within ING Bank worldwide. To further strengthen and manage the model risk management activities, MRO expands within Risk Hub of ING Hubs Poland. The Risk Hub Model Risk Oversight Chapter supports/guides global and local model communities in execution of the model life cycle activities, together with Global MRO team facilitates oversight, monitoring model risk, assessing and governing model inventory data quality, and reporting for global/local entities. We are looking for Model Risk Experts to support Model Risk Management by enhancing steering mechanisms, extending reporting capabilities and contribute to various framework related projects. At ING Hubs Poland and ING Group we follow the Agile approach and mindset. We are innovative and we trust people we work with.

The expected salary for this position: 9 600 - 18 000 PLN gross monthly

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
This is a highly technical individual contributor role. The Distinguished Engineer is expected to serve as a technical authority and trusted advisor for AI security and related infrastructure security domains.

This role is expected to dedicate significant time to hands-on engineering, including building reusable security patterns, reference architectures, and proof-of-concept implementations for AI systems and the platforms that support them. In parallel, the role provides expert governance, architectural guidance, and technical oversight to ensure secure, scalable, and compliant AI adoption across the enterprise.

The Distinguished Engineer will work closely with cross-functional partners to embed security into the AI lifecycle—from data and model development through deployment and operations—while helping shape enterprise strategy and standards based on real-world engineering outcomes.

Key Responsibilities

AI Security Leadership (Primary Focus)
• Define and help execute the enterprise AI security strategy, spanning secure model selection, development, and deployment criteria, adversarial threat mitigation, and alignment with emerging AI governance requirements.
• Design, build, and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity, secure data pipelines, and privacy-preserving machine learning.
• Perform hands-on security assessments of AI systems, identify risks, and provide mitigation guidance based on AI security posture management and detection findings.

• Drive innovation in AI security techniques, controls, and tooling through applied research and practical implementation.
• Apply and guide the application of AI security frameworks such as MITRE ATLAS, NIST RMF, and emerging ISO/IEC AI standards to secure the end-to-end AI lifecycle.

Infrastructure Security Expertise (Secondary Focus)
• Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads, including workload identity, segmentation, and continuous verification.
• Partner closely with Enterprise Architecture and Platform Engineering to integrate AI security controls into infrastructure design patterns and shared services.
• Guide and, where appropriate, directly implement security capabilities across on-premises and cloud platforms to ensure consistent protection for AI and traditional systems.

Strategic Engineering Responsibilities
• Hands-on Engineering & Prototyping: Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches. Provide ongoing technical support to teams implementing enterprise patterns and components.
• Framework and Pattern Development: Architect repeatable security patterns and guardrails that can be adopted by data science, engineering, and platform teams.
• Technology Evaluation: Research emerging AI and infrastructure security technologies to assess enterprise applicability and maturity. Ensure that enterprise components and solution architectures leverage the best commercial and open-source software and services available, and that the resulting AI security stack is minimally complex and massively scalable and economic.
• Technical Innovation: Translate emerging threats, research, and regulatory guidance into practical, actionable engineering solutions.

Governance, Advisory, and Oversight Responsibilities
• Provide expert design reviews and technical oversight for AI systems, platforms, and infrastructure architectures.
• Define and evolve AI security and infrastructure security standards in partnership with governance stakeholders.
• Advise on security-related business cases and strategic investments for AI platforms and capabilities.
• Serve as a trusted advisor and mentor to security, platform, and engineering teams on AI security best practices.
• Advise on enterprise response to emerging AI security threats.

Cross Functional-Functional Collaboration & Stakeholder Engagement
This role collaborates closely with key partners across the organization, including but not limited to:
• Data Science & Machine Learning Engineering: Embedding security into model development, evaluation, and deployment workflows.
• Platform, Cloud, and Infrastructure Engineering: Securing AI platforms, pipelines, and runtime environments.
• Legal, Privacy, and Compliance: Ensuring alignment with regulatory, privacy, and contractual requirements for AI systems and data usage.
• Enterprise Architecture: Aligning AI security patterns with broader enterprise technology and architecture standards.
• Risk Management and Audit: Supporting risk assessments, control validation, and audit readiness for AI-enabled systems.
• Application Development / Application Security: Partner with Application Security to provide technical support and guidance to embed security in AI development pipelines.

Additional Strategic and Leadership Responsibilities
• Set and guide technical direction for AI security and adjacent infrastructure security domains based on hands-on engineering insight.
• Influence enterprise technology strategy for secure AI adoption through thought leadership and practical guidance.
• Contribute to industry and internal thought leadership through publications, presentations, patents, or standards.
• Influence key technology partners and solution providers to ensure that their solutions comply with CVS Health AI Security standards.

Required Qualifications
• AI Security Frameworks: MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and emerging ISO/IEC AI security standards.
• AI Technologies: Expert conceptual and hands-on implementation knowledge of core ML and generative AI technologies including transformer-based NLP, LLM-based generative AI and agentic AI.
• AI Risk Management & Model Security: Threat modeling, adversarial defenses, model lifecycle security, and vulnerability management.
• Data Privacy & Protection: Privacy-enhancing technologies (PETs), secure data handling patterns, and regulatory alignment (e.g., HIPAA, GDPR).
• Infrastructure Security: Zero Trust architectures, secure AI pipelines, and cloud-based GenAI platform controls.
• Governance & Compliance: Policy development, risk indicators, regulatory interpretation, and audit support for AI systems.
• Leadership & Collaboration: Ability to influence engineering, legal, privacy, and business stakeholders.

Required Experience
• 15+ years of AI experience, including significant depth in advanced technical or architectural roles.
• 5+ years of cybersecurity experience defining and integrating security standards and controls that aligned to established frameworks such as NIST CSF.
• Deep expertise in AI security concepts such as adversarial ML, secure model deployment, AI agent authorization, AI data loss protection, AI safety, and AI risk management.
• Strong background in Zero Trust architecture and hybrid infrastructure security.
• Demonstrated ability to lead and influence large-scale, cross-functional security initiatives.
• Hands-on experience building, deploying, and securing AI systems and platforms in enterprise environments.
• Practical experience applying AI security and risk management frameworks in real-world engineering contexts.

Preferred Qualifications
• CISSP and/or CISM preferred.
• AI security, cloud security, or data protection–focused certifications are a plus.

Education

• Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field required.
• Master’s degree in AI, Machine Learning, Cybersecurity, or a related discipline strongly preferred.

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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.

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.

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.

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

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:
Ensures AI applications, products, and solutions adhere to established company policies, regulatory requirements, and industry best practices. Conducts compliance assessments, performs risk evaluations, and reviews and assesses AI systems to identify potential issues both before and after deployment. The incumbent works closely with AI development teams, data scientists, and business stakeholders to support responsible AI practices while documenting findings and recommendations in clear, evidence based, and actionable reports.

• Performs compliance reviews of AI applications and products to assess alignment with internal policies, governance standards, and standard operating procedures, including verification of required documentation, approvals, and controls prior to production deployment.

• Conducts structured risk assessments of AI systems across their lifecycle, identifying and documenting risks related to bias, privacy, security, safety, model behavior, and regulatory non compliance; evaluate risk likelihood, impact, and adequacy of mitigation controls.

• Reviews model development practices, data handling procedures, deployment controls, and technical artifacts (e.g., model cards, system architecture documentation) to identify compliance gaps and discrepancies between documented capabilities and actual system behavior.

• Investigates AI system incidents, complaints, or governance concerns by analyzing system behavior, data flows, and decision logic; document investigative methods, evidence reviewed, and conclusions reached.

• Conducts hands on testing and probing of AI systems to validate documented claims regarding performance and behavior, and support ongoing monitoring of deployed systems.

• Tracks compliance and risk findings, remediation actions, and residual risk through maintained risk registers and supporting documentation; verify corrective actions are implemented and documented.

• Partners with AI development teams, product owners, and subject matter experts to gather information for assessments and investigations, and prepare clear findings, executive summaries, and recommendations for leadership and governance stakeholders.

• Monitors trends in compliance and risk findings to identify systemic issues and support continuous improvement of AI governance practices; stay current with evolving AI regulations, standards, and industry best practices.

• Performs other duties as assigned.

• Complies with all policies and standards.

Education/Experience:
Bachelor's Degree Information Systems, Risk Management, Compliance, Data Science, or a related field or equivalent experience required. Master's Degree preferred

Technical Skills:

• 3+ years progressively responsible experience in compliance, risk assessment, audit, or quality assurance, preferably supporting technology or AI enabled systems required

• Working knowledge of AI and machine learning concepts, including supervised learning, generative AI, and model evaluation approaches required

• Demonstrated ability to analyze technical documentation, identify compliance and risk issues, and gather supporting evidence required

• Experience supporting risk assessments and drafting findings with actionable recommendations required

• Understanding of the AI lifecycle as defined by NIST preferred

• Proven track record creating and maintaining thorough documentation required

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

Address:

Seeking a skilled and experienced professional to join our Model Risk Management Team as a Senior Analyst, Model Risk, Credit Risk. As a senior analyst in our second line of defense risk management, governance, and control function, you will play a pivotal role in the validation of credit risk models, such as Allowance (IFRS 9 /CECL/loss forecasting) models, Stress Testing (CCAR/EWST), operational risk, climate risk models and other initiatives. Other activities related to the model lifecycle such as model performance monitoring, annual reviews, assessment of overlay quantification are also part of the validation responsibilities. Experience in other credit risk families, such as credit adjudication and account management models, is also relevant. This is an individual contributor role.

Key Role Responsibilities:

• Model Risk Review and Effective Challenge: You perform the validation of models, other estimation approaches and critical tool calculators and assess the model risk to confirm model appropriateness and capability for a designated portfolio. You are responsible for providing effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks. You assess the models’ capabilities, stress points and limitations; you assess the associated model risk and the controls in place to mitigate identified risks.
• Stakeholder Engagement: Effective communication is crucial in this role. You will manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters. Your ability to explain complex technical concepts in everyday language will set you apart.
• Change Management: BMO is at the forefront of innovation in model risk management. You will be part of the team that drives change by embracing new technology platforms, tools, and operating models.
• Regulatory Expertise: 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.
• Risk Understanding: You will need to connect the dots between technical issues and business considerations.

What we are looking for:

• A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
• Experience in model validation and/or development within a financial institution, particularly in the credit risk area, is a plus.
• Certifications: While qualifications like CFA are helpful, they are not mandatory.
• Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management is a plus.
• Proficiency in a programming language such as Python, R, and SAS (Python is preferred).
• Proficiency in working with relational databases – SQL or Oracle.
• Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.
• A can-do attitude and a research, deep-dive mindset.

Our team values flexibility, collaboration and in-person engagement. This position is located in Toronto and offers flexibility with a hybrid work arrangement where the successful candidate will spend at least 3 days per week on-site and the other days remote.

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.

• Shares technical knowledge of models and validation strategies with team members and stakeholders.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Troubleshoots model validation issues with team members and stakeholders.
• Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the model validation portfolio / program to various internal & external stakeholder audiences.
• Supports the development and promotion of a business/group program for model validation.
• 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.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

  Qualifications:

• Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge and understanding of the model life cycle, model risk management practices.
• In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.
• Technical proficiency gained through education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - In-depth.

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.

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

About the role:

PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC’s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK’s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 

What your days will look like:

As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.

• Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC’s “Trust by Design” architecture patterns to ensure systems are secure, governed, transparent and resilient.

• Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI, embedding: safety and policy controls (guardrails, content safety, prompt-hardening),

• transparency and auditability (logging, traceability, lineage), privacy and security controls (data minimisation, encryption, key management), and human-in-the-loop and escalation mechanisms.

• Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across: SDLC and secure-by-design practices, data lifecycle and data governance, model lifecycle (training, fine-tuning, evaluation, release, monitoring).

• Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.

• Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.

This role is for you if you have:

• Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).

• Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.

• Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.

• Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.

• Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.

• Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems. 

• Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.

• Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

About the role:

PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC’s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK’s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 

What your days will look like:

As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.

• Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC’s “Trust by Design” architecture patterns to ensure systems are secure, governed, transparent and resilient.

• Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI, embedding: safety and policy controls (guardrails, content safety, prompt-hardening),

• transparency and auditability (logging, traceability, lineage), privacy and security controls (data minimisation, encryption, key management), and human-in-the-loop and escalation mechanisms.

• Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across: SDLC and secure-by-design practices, data lifecycle and data governance, model lifecycle (training, fine-tuning, evaluation, release, monitoring).

• Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.

• Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.

This role is for you if you have:

• Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).

• Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.

• Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.

• Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.

• Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.

• Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems. 

• Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.

• Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. ​

​

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.