AI Risk Senior Analyst in London

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

Responsibilities

• Reporting to the Global Head of Technology and AI Risk, the Senior Analyst is responsible for the execution of AI risk management processes for the Global Risk Management (GRM) function.
• Lead the GRM review and assessment of AI use cases, and related processes and controls against Capital Group’s policies and standards, industry risk frameworks, and regulatory expectations.
• Provide AI risk expertise as part of the incident and problem management processes in relation to AI.
• Ensure effective identification, assessment, and quantification of risk as part of the AI intake process.
• Proactively identify and elevate risks/gaps through the AI lifecycle and across all components of the AI Risk Management Framework (AI RMF).
• Communicate findings and recommend enhancements to strengthen risk posture, control effectiveness, and regulatory compliance.
• Monitor metrics and investigate risk triggers that may indicate a risk or control issue and actively manage these issues.
• Partner effectively with technology and business teams on incident and problem management related to AI.
• Prepare risk reporting and relevant AI risk documentation, including policies and standards, and Board/Committee materials, for Global Risk Management.
• Continuously review and challenge first‑line processes, procedures, and controls against AI‑related policies and standards, industry frameworks, and regulatory requirements.
• Build trusted relationships with first‑line product managers, technology and business process and control owners.
• Foster effective collaboration with cross‑functional teams, including Technology, Security, and Third‑Party Risk, and Legal and Compliance teams.
• Develop data risk insights through innovative use of AI capabilities and tools.

Qualifications

• Knowledge of AI‑specific risk management principles, responsible AI practices, and theories, enabling you to drive enhancement of AI management and risk management processes and controls.
• Knowledge of model risk, data protection, technology risk and other specialized topics to evaluate AI use cases and influence related risk treatment strategies.
• Demonstrable knowledge of risk management frameworks and industry standards (e.g., NIST AI RMF, ISO 42001) and their practical application in a technical environment.
• Experience assessing risks and controls in relation to AI and/or related technology and security.
• Deep technical and practical operational understanding of AI model risk management in real‑world environments.
• Technical understanding of data protection concepts, security risk management, AI model/system lifecycle, AI failure modes, and risk characteristics.
• Fluency in responsible AI best practices, and incident management.

Benefits

• Competitive salary, bonuses, and benefits. Company‑funded retirement contribution will factor in salary and variable pay, including bonuses.
• Flexible work options and generous time‑away and health benefits from day one.
• 2‑for‑1 matching gifts for charitable contributions and the opportunity to secure annual grants for the organizations you love.
• Access on‑demand professional development resources to hone existing skills and learn new ones.
• Individual annual performance bonus, Capital’s annual profitability bonus, and retirement plan with 15% employer contribution.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment.