Vice President, AI Risk Review, Risk Management Department (Singapore)

Job description

Review Artificial Intelligence (“AI”)/Machine Learning (“ML”) use cases (including agentic AI) to ensure compliance with Singapore/APAC regulations and internal bank policies. Design and operate frameworks for AI use case review, focusing on regulatory, ethical, and governance requirements. Lead and support operational transformation initiatives leveraging AI, collaborating with business and technology teams to identify, design, and implement AI-enabled process improvements. Provide practical guidance to business and technology stakeholders on both AI risk management and AI-driven transformation opportunities. Job Responsibilities AI Use Case Review Conduct independent reviews of AI/ML use cases, verifying compliance with various external/internal rules, such as Singapore’s PDPA guidance, prosed MAS AI risk management guideline, and internal bank policies, including ones for Model Governance. Review documentation and evidence for each AI use case, including purpose, data sourcing and privacy, model design, fairness and explainability, human-in-the-loop controls, and security measures. Review agentic AI architectures for role-based access, policy-as-code, immutable decision logging, observability, and fallback/kill-switch mechanisms. Advise first line teams on regulatory and policy requirements for AI use cases, providing actionable recommendations for remediation or improvement. Prepare clear review reports and present findings to senior management and relevant committees. Monitor regulatory developments and update review frameworks as needed. AI-driven Operational Transformation Identify opportunities for operational transformation leveraging AI, in collaboration with business and technology teams. Lead or support the design and implementation of AI-enabled process improvements, automation, and digital transformation initiatives. Evaluate risk and control implications of AI-driven transformation projects, ensuring alignment with regulatory and internal governance requirements. Promote responsible AI adoption and innovation within the organization. Share best practices and lessons learned from AI transformation projects across APAC branches. Job Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related field; advanced degree or recognized certifications are advantageous. 5–10 years of experience in AI/ML use case review, model risk management, data/AI governance, technology risk, or operational transformation within financial services. Demonstrated knowledge of Singapore AI governance landscape (e.g., PDPC, MAS expectations, Model Governance) and familiarity with global frameworks, e.g., EU AI Act (preferable). Experience leading or supporting AI-driven operational transformation projects, including process redesign, automation, or digitalization. Strong stakeholder management and communication skills; able to challenge constructively and provide practical, risk-based recommendations. Proactive self-starter with strong teamwork abilities and stakeholder management skills. Able to multi-task under tight timelines. Native-level English proficiency required; culturally sensitive and able to work in a diverse APAC environment. Core Skills Set Working knowledge and/or experience in the following areas: AI Governance & Review: designing and operating review frameworks for AI use cases. Data Governance & Privacy: consent/legitimate basis assessment, data lineage/quality, anonymisation, and PDPA compliance. Model Risk & Validation: fairness/bias testing, explainability, robustness, drift monitoring, documentation and traceability. Security & Resilience: secure MLOps, access control, secret management, supply-chain risk, adversarial testing. Agentic AI Guardrails: least-privilege tool use, policy-as-code, immutable decision logs, human-in-the-loop and safe fallback. AI Transformation: process redesign, automation, digitalization, and change management. Regulatory Intelligence: horizon scanning and translating regulatory/sta ndards into bank policies and review criteria.