Assistant Vice President, AI Risk Review, Risk Management Department

Job Responsibilities

• Coordinate AI use case review requests submitted by business and technology teams.
• Identify relevant stakeholders across risk and control functions, including model risk, technology risk, data privacy, information security, and compliance, and facilitate the required assessments.
• Monitor review progress, follow up on pending actions, and consolidate feedback into structured summaries for management and governance committees.
• Maintain standardized documentation and supporting evidence for AI use cases in accordance with internal policies and regulatory requirements.
• Assist in preparing review materials, management updates, and status reports related to AI governance activities.

• Provide coordination and administrative support for the AI Risk Committee and related governance forums.
• Organize meeting schedules, agendas, and distribution of meeting materials.
• Prepare meeting minutes, maintain decision and action logs, and track follow-up actions to completion.
• Support enhancements to AI governance processes, templates, and operational workflows.

• Maintain and update the organization’s AI use case inventory, including review status, risk classification, approval outcomes, and associated conditions.
• Ensure consistency and accuracy of AI governance records across departments and stakeholders.
• Support periodic reporting on AI adoption, governance activities, and review metrics for management and regulatory purposes.

• Serve as a coordination point between business, technology, and control functions on AI governance matters.
• Support responses to internal audit, regulatory, and Head Office requests related to AI risk management and governance.
• Monitor relevant regulatory and internal policy developments relating to AI and support updates to internal documentation and procedures where required.

• Bachelor’s degree in Information Systems, Data Science, Engineering, Business, Risk Management, or a related quantitative discipline.
• Approximately 3 years of relevant experience in governance, risk management, compliance, technology risk, data governance, or related functions within the financial services industry.
• Foundational understanding of AI, data, or technology risk concepts, with a demonstrated interest in AI governance and willingness to develop further expertise.
• Familiarity with regulatory and governance frameworks, including MAS guidelines, PDPA, or equivalent internal governance standards, would be advantageous.
• Strong organizational and coordination skills with attention to detail and documentation accuracy.
• Effective written and verbal communication skills, with the ability to engage professionally with stakeholders across multiple functions.
• Ability to manage multiple tasks, timelines, and follow-ups in a structured and proactive manner.
• Proficiency in English and the ability to work effectively within a multicultural APAC environment.