Job Summary

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

Duties and Responsibilities/Essential Functions

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

Qualifications

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

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

Preferred Qualifications

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

Other Duties

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

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

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

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

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

About Wizard

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

The Role

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

What You’ll Do

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

What Success Looks like

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

Ideal Background

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

Compensation & Benefits

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

In addition to base salary, Wizard offers:

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

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

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

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

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

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

Experience Level - Manager/Expert

Recruiter - Helen Simons

What we offer:

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

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions. We also offer Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.

• Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.  

• Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.

• Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

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

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

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

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

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

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

Key Responsibilities:

Architecture & Secure-by-Design Leadership

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

Control Design & Implementation (Hands-on)

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

Threat Modeling, Assurance, and Risk Reduction

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

Tooling, Automation, and Operational Enablement

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

Technical Mentorship & Influence (No Line Management)

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

Requirements

Required Qualifications

Experience

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

Technical Expertise

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

Soft Skills

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

Preferred Qualifications

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

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

Description Hebrew

Requirements Hebrew

What is the opportunity?  

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

What will you do? 

• Perform ongoing Wholesale and Retail credit risk systems including acquisition & account management models as well as parameters validations and provide insightful analysis of validation results

• Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes   

• Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, acquisition & account management models, as well as parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc.

• Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate

• Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders

• Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?

Must-have  

• Model development or model validation experience, preferably related to credit risk models used within the financial services industry. A strong understanding of credit risk modeling theories, principles and industry best practices.

• Strong conceptual, analytical, detailed oriented and problem-solving skills

• Strong computer skills – Python, SAS, SQL and Excel required; similar open-source programming languages (i.e. R, or Scala, PySpark) and code sharing solutions (Github) are essential

• Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data. Comfortable working with large data sets

• Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques; experience with Python modules used in training deep learning models (e.g. torch).

• Effective presentation and communication skills, with strong written capabilities essential. Strong consensus-building skills. Works well in teams

• Execute with urgency while maintaining quality and efficiency; adapt to shifting priorities, coupled with a sense of urgency

• Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field).

Nice-to-have 

• Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments

• Experience with Hadoop, Spark and similar data storage and processing tools. Experience with deep learning methodologies. Familiar with Tableau or other data visualization tools

• Familiar with object-oriented programming concepts

• Exposure to credit risk system design and OSFI’s CAR guideline is a definite asset

• A strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is an asset.

What’s in it for you?

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

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• A world-class training program in financial services.

• Opportunities to do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

#LI-Post

#TECHPJ

Job Skills

Additional Job Details

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

Our Employment Opportunities

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

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

 AI Governance and Value Manager

Location – Dublin / Kilkenny

Reports to – Head of AI Strategy and Architecture

Glanbia Business Services

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

 The Opportunity

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

Job Responsibilities

Use Case Management & Value Realisation:

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

Business Engagement & Ideation

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

Collaboration & Enablement

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

Governance & Policy Ownership

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

Operationalisation of AI:

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

Role Dimensions

Key Relationships/Customers

Qualification & Experience Requirements

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

Professional Experience

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

Technical and Strategic Skills

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

Leadership & Collaboration

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

Value & Impact Orientation

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

Key Technical & Leadership Capabilities

TECHNICAL CAPABILITIES & SKILLS

LEADERSHIP CAPABILITIES

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

Where and How You Will Work

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

What We Would Like to Offer You

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

About Glanbia

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

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

Job Description:

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

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

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

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

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

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

Responsibilities:

• Leads the assessment of the design and effectiveness of the risk and control environment to support Client Operational Services and ensure adherence to enterprise-wide standards

• Performs monitoring and testing of controls, identifying issues and control improvements for remediation

• Leads the implementation of optimized controls and enhanced Quality Assurance (QA) practices to support business continuity efforts

• Manages the performance and productivity of team members that conduct quality inspection reviews

• Ensures timely execution of QA activities including control execution, case management, and results reporting

• Manages and reviews all operations front line unit responses for regulatory exams, internal audits, and other monitoring and inspection reviews

• Ensures accuracy of data and that relevant information is captured for inspection metrics to support governance for dashboard reporting

• Lead and execute model governance strategy for Global Technology, ensuring alignment with Enterprise Model Risk Management and Artificial Intelligence policies, standards, and regulatory expectations

• Oversee the AI, model, and critical-use spreadsheet portfolio, including model identification, health assessments, inventory management, and quarterly attestations

• Drive risk mitigation strategies to proactively address model risk issues, control gaps, and emerging risks across technology and information security domains

• Review, maintain, and enhance model documentation, tracking, reporting, and ongoing compliance processes

• Translate enterprise MRM requirements into Global Technology–specific procedures, controls, and governance frameworks

• Partner closely with technology leaders, GIS teams, and lines of business to coordinate deliverables, priorities, and governance routines

• Prepare and quality‑review executive‑level materials, metrics, and reporting for senior management and governance forums

• Coordinate cross‑divisional timelines and deliverables, ensuring commitments are met accurately and on schedule

• Define, monitor, and manage Model Risk Key Risk Indicators (KRIs) to support risk transparency and informed decision‑making

• Participate in governance forums to assess model inventory health, developer activity, and adherence to policy expectations

• Support audits, regulatory exams, issues management, and remediation efforts related to model risk and governance

• Identify and implement opportunities to streamline and enhance model risk management processes, partnering across teams to drive execution

• Manage cross‑functional governance programs and projects, balancing strategic objectives with operational excellence

Required Qualifications:

• 3+ years of recent experience in a Risk & Control, Governance, Compliance, or related environment

• Strong ability to communicate complex technical and risk concepts in clear, concise language tailored to diverse audiences

• Demonstrated accountability, ownership, and execution excellence in delivering results

• Proven experience acting as a change agent, driving adoption and alignment across diverse stakeholder groups

• Excellent collaboration and influencing skills, with the ability to motivate teams without direct authority

• Comfort operating in ambiguous and evolving environments, with strong analytical and problem‑solving capabilities

• Strategic, self‑directed, organized, and capable of operating with minimal supervision

• Ability to prioritize, coordinate, and execute against deadlines while adhering to enterprise policies and standards

• Strong critical‑thinking skills, including the ability to “connect the dots” and perform thematic risk analysis

• Proficiency in Microsoft Office (Outlook, Word, PowerPoint, Excel)

Desired Qualifications:

• Familiarity with the Global Technology organization and enterprise technology operating models

• Strong understanding of Information Security principles, technologies, attack vectors, and associated risks

• Prior experience in Cybersecurity Operations, including exposure to incident response, privacy, or threat management disciplines

• Infrastructure domain experience within Risk, CTO, and/or Global Information Security organizations

• Strong working knowledge of the NIST Cybersecurity Framework

• Advanced understanding of security threats, vulnerabilities, exploits, malware, and digital forensics to support informed risk decisions

• Proven experience implementing Compliance and Operational Risk Program requirements, including risk assessments, control design, and issues management

Skills:

• Controls Management

• Oral Communications

• Risk Management

• Stakeholder Management

• Strategy Planning and Development

• Continuous Improvement

• Drives Engagement

• Influence

• Strategic Thinking

• Talent Development

• Data and Trend Analysis

• Decision Making

• Monitoring, Surveillance, and Testing

• Problem Solving

• Quality Assurance

Shift:

Hours Per Week: 

Address:

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

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

  Qualifications:

• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• In-depth / expert knowledge and understanding of model validation, model risk management practices.
• In-depth / expert knowledge of regulatory requirements.
• In-depth / expert knowledge & experience with risk policy frameworks; quality control / testing frameworks.
• Seasoned professional with a combination of education, experience and industry knowledge.
• Verbal & written communication skills - In-depth / Expert.
• Analytical and problem solving skills - In-depth / Expert.
• Influence skills - In-depth / Expert.
• Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
• Able to manage ambiguity.
• Data driven decision making - In-depth / Expert.

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.

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

Position Purpose:

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

• Executes comprehensive AI governance framework that aligns with organizational goals, ethical principles, and regulatory requirements

• Translates high-level AI-specific policies and strategies into actionable processes, guidelines, and operational workflows within the organization. Addresses data governance, bias mitigation, transparency, accountability, and risk management

• Monitors and conducts AI risk assessments to identify potential ethical, legal, and societal risks associated with AI applications. Reports on findings to senior leadership and the VP of AI Governance.

• Implements the AI ethics guidelines for the organization including for models developed by the organization or third parties on which the organization relies

• Performs project level risk analysis to determine success criteria or identify risks for model development outcomes

• Develops and implements AI training and awareness programs for employees and stakeholders on AI governance principles, ethical considerations, and best practices

• Manages a team of AI professionals to ensure consistent application of AI governance standards across the organization

• Advocates for the understanding of human reactions and behaviors, for those working with AI, adjacent to AI, or receiving an output from AI as part of overall AI ethics

• Promotes AI literacy across the organization, fostering a shared understanding of AI's impact and facilitating smooth adoption

• Monitors and evaluates the performance and impact of AI systems on the organization and its stakeholders

• Establishes metrics and benchmarks to assess the effectiveness of AI governance controls and identify areas for improvement

• Performs other duties as assigned

• Complies with all policies and standards

Education/Experience:

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

• 7+ years leadership experience in related field.

Technical Skills:

• Experience with and deep understanding of AI governance frameworks, ethical principles, and best practices required

• Strong knowledge of the healthcare industry, including relevant regulations (e.g., HIPAA) and ethical considerations required

• Proven ability to identify, assess, and mitigate risks associated with AI technologies required

• Experience in developing and implementing AI compliance programs preferred

• Experience with AI model development and deployment preferred

• Knowledge of data governance frameworks and best practices preferred

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

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.

Some careers shine brighter than others.

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

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

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

Key Responsibilities:

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

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

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

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

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

Issued by – HSBC Software Development India.

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.

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).

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).

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.

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

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:

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).