Senior AI Risk Manager

22 hours ago

Singapore beBeeArtificialintelligence Full time $150,000 - $250,000

Job Opportunity

We are seeking a seasoned professional to lead our team in AI risk management for financial institutions. This is a high-impact role that combines regulatory supervision, market oversight, and thought leadership in shaping AI adoption within finance.

  • Team Leadership: Lead and develop a specialist team overseeing AI risk management.
  • Supervisory Frameworks: Design and implement frameworks and supervisory approaches for managing AI-related risks.
  • Policies & Governance: Drive the development of AI policy and governance standards that balance innovation with safety and resilience.
  • Cross-sector Coordination: Collaborate with other government agencies and industry stakeholders on AI-related initiatives with sector-wide implications.
  • International Engagement: Contribute to global standards-setting and represent us in international discussions on AI risk in finance.
  • Technical Advisory: Provide expertise on AI models, algorithms, governance, and emerging technologies to colleagues and stakeholders.
  • Supervisory Reviews: Lead thematic and institution-specific reviews of AI model deployment in banks and other financial institutions.
  • Research & Foresight: Conduct research on emerging AI trends, risks, and safeguard measures relevant to financial stability.
  • Capacity Building: Develop training programs and knowledge-sharing platforms on AI risk, governance, and supervisory practices.
  • Project & Resource Management: Oversee workplans, deliverables, and team resources to ensure timely execution of strategic initiatives.

Requirements

  • Strong experience in AI or advanced analytics supervision, regulatory policy, or risk management.
  • Proven leadership track record, including managing teams, mentoring talent, and handling complex cross-functional projects.
  • Deep understanding of AI/ML technologies, data science, and model deployment in real-world applications.
  • Experience in policy development or governance in technology, AI ethics, or financial risk management.
  • Strong strategic thinking, analytic, and problem-solving abilities to connect technical detail with broad regulatory objectives.
  • Excellent communication skills with the ability to engage audiences ranging from AI engineers to senior policymakers.
  • Demonstrated success in stakeholder management across both industry and government settings.
  • Advanced degree(s) in Computer Science, Data Science, Finance, or other quantitative disciplines preferred.

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