Vice President, AI Risk Review, Risk Management Department
Vice President, AI Risk Review, Risk Management Department
SMBC GroupEarly Applicant
- Posted 10 days ago
- Be among the first 10 applicants
Job Description
Job Responsibilities
AI Use Case Review
Working knowledge and/or experience in the following areas:
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.
- 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.
- 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.
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/standards into bank policies and review criteria.
More Info
Key Skills
AI Transformation
Agentic AI Guardrails
AI Governance Review
Security Resilience
Model Risk Validation
About Company
Skills:
workflow management , Power Bi, Solution Delivery, Data Governance, Production Quality Management, Management Reporting, Risk Management and Administration, Artificial Intelligence Ethics and Governance, Computer Science, Complex Data Sources, Stakeholder Engagement, Liaise With Stakeholders, Responsible AI, governance framework, automation applications
Vice President, APAC Data Governance Platform & Data Qualitysumitomo mitsui banking corporation singapore branch
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Skills:
Metadata Management, Data Lineage, Data Governance, Data Quality scorecards, Collibra platform, Programme and project management, Data Quality governance, Governance workflows and controls, Governance reporting, Platform adoption metrics, Metadata business glossary, BCBS239
Skills:
Performance Monitoring, regulatory environments, innovation in portfolio management, Strategic Planning, portfolio performance analysis, portfolio strategy, Analytics, insurance product frameworks, Stakeholder Engagement, Market Intelligence, distribution models, Portfolio Management, insurance product management
Skills:
Adviser propositions, AI-enabled advice models, Sales narratives, Wealth Management, Playbooks, Competitive market intelligence, Adviser engagement programmes, Business development, Regulatory developments, Sales Enablement, Marketing, Financial Advisory, Customer Segmentation, Toolkits, Product propositions, Go-to-market strategy, Life insurance, Distribution strategy
Skills:
Digital transformation projects, Hedge Fund Accounting, AI driven initiatives