Senior AI Risk Manager

7 days ago

Singapore beBeeLeadership Full time $90,000 - $120,000
AI Risk Management Leadership Role

Overview:

The role entails leading a specialist team overseeing AI risk management for financial institutions. This is a high-impact position that combines regulatory supervision, market oversight, and thought leadership in shaping AI adoption within finance.

You will play a critical part in ensuring the safe, responsible, and innovative use of AI technologies across the financial ecosystem, while helping to set standards that influence both domestic and international practice.

Responsibilities:
  • Team Leadership: Lead and develop a specialist team managing AI-related risks for financial institutions.
  • Supervisory Frameworks: Design and implement frameworks for managing AI risks, balancing innovation with safety and resilience.
  • Policy & Governance: Drive policy development and governance standards that balance AI innovation with safety and resilience.
  • Cross-sector Coordination: Collaborate with other government agencies and industry stakeholders on AI 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.
  • 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: 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.
  • Strategic Thinking: With 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: In Computer Science, Data Science, Finance, or other quantitative disciplines preferred.

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