AI Risk Management Supervision, Division Head

[What the role is]

Provide strategic direction and lead a team of supervisors focused on supervision of AI risk management for the financial sector. This position sits with Banking Department II.

[What you will be working on]

• Oversee the development and implementation of supervisory frameworks and approaches for AI risk management.
• Work on both broad and technical policy and regulatory issues across the finance sector relating to all aspects of AI
• Coordinate with whole-of-government agencies on AI related matters that impact the financial sector
• Work on standards-setting work at international bodies related to AI risk management in finance
• Work with departments in MAS overseeing the development of AI in finance and contribute to the broader MAS strategy on AI
• Drive research and analysis on emerging AI trends, risks, and mitigation techniques relevant to finance.
• Manage team resources, project timelines, and deliverables.

[What we are looking for]

• Extensive experience in AI governance, AI risk management and/or AI implementation in the financial sector.
• Good understanding of regulatory frameworks and risk management principles for financial institutions.
• Experience with financial regulation or supervision is valued.
• Proven leadership skills with experience managing teams and complex projects.
• Deep understanding of AI, machine learning technologies, data science, with a strong interest to stay current with rapidly evolving AI technologies and regulatory landscapes.
• Excellent analytical, strategic thinking, and problem-solving abilities.
• Strong communication skills, capable of engaging both technical and non-technical audiences.
• Strong interpersonal skills, with experience in engagement of diverse stakeholders.
• Relevant advanced degrees in fields like AI, Computer Science, Data Science, Finance, or a related highly quantitative field.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.