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.