Company

Financial Sector

AIRiskManagementSupervision,DivisionHead

Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“AI Risk Management Supervision, Division Head. Skills: AI Risk Management, Supervision, Financial Sector. Provide strategic direction. Lead a team of supervisors”

Industry & Context.

Financial Sector
Problems you'll solve

Problem-solving abilities

Eligibility Requirements

Complete a medical declaration, Undergo further assessment

What They're Looking For.

Must Have

Extensive experience in AI governance, Extensive experience in AI risk management, Extensive experience in AI implementation in the financial sector, Good understanding of regulatory frameworks, Good understanding of risk management principles for financial institutions, Deep understanding of AI, Deep understanding of machine learning technologies, Deep understanding of data science, Excellent analytical abilities, Excellent strategic thinking abilities, Excellent problem-solving abilities, Excellent communication skills, Excellent interpersonal skills

Nice to Have

Experience with financial regulation, Experience with financial supervision, Interest to stay current with rapidly evolving AI technologies, Interest to stay current with rapidly evolving regulatory landscapes, Experience in engagement of diverse stakeholders, Relevant advanced degrees in fields like AI, Relevant advanced degrees in Computer Science, Relevant advanced degrees in Data Science, Relevant advanced degrees in Finance, Relevant advanced degrees in a related highly quantitative field

What You'll Do.

Provide strategic direction

Lead a team of supervisors

Oversee development of supervisory frameworks

Oversee implementation of supervisory frameworks

Work on policy issues

Work on regulatory issues

Coordinate with government agencies

Work on standards-setting

Contribute to MAS strategy

Drive research on AI trends

Drive analysis on AI trends

Manage team resources

Manage project timelines

How You'll Work.

Team & Collaboration

Coordinate with whole-of-government agencies; Work with departments in MAS; Engagement of diverse stakeholders

Communication Scope

Engaging technical audiences; Engaging non-technical audiences

Process & Methodology

Managing complex projects, Managing project timelines, Managing deliverables

Full Job Description

**[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

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