Financial Sector AI Risk Management Leader

4 days ago

Singapore beBeeArtificialIntelligence Full time $120,000 - $200,000
Job Title

A seasoned leader is required to spearhead supervisory, policy, and governance initiatives in the financial sector, focused on artificial intelligence (AI) risk management.

Key Responsibilities
  • Lead and develop a specialist team overseeing AI risk management for financial institutions.
  • Design and implement frameworks and supervisory approaches for managing AI-related risks.
  • 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 Singapore 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.
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.

EA Licence: 16S8091

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