SVP/VP, Group Audit – Consumer Banking Group (AI Assurance)
DBS Bank Ltd is a Singapore-based bank providing personal, SME, corporate, institutional, wealth management, financial markets, and digital banking services. Its clients include consumers, small and medium-sized businesses, corporations, and institutional customers.
About DBS Bank Ltd
DBS Bank Ltd provides banking products and services including accounts, cards, insurance, loans, investments, digital banking, payments, trade finance, foreign exchange, commodities, investment solutions, and derivatives clearing. Through its SME business, it supports businesses with financing, cash-flow management, online banking through DBS IDEAL, sustainability programmes, and business-growth initiatives. The bank serves personal customers, SMEs, corporate and institutional clients, and wealth-management customers across its regional markets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead and execute audits of the Bank's AI, GenAI and Agentic AI ecosystem, assessing governance, risk and control frameworks across the AI lifecycle. You will develop AI audit methodologies, act as the AI audit subject matter expert, coach audit teams, and communicate key observations to senior management.
Requirements
- Bachelor's degree in computer science, IT, Engineering, Data Science, Risk Management, Accounting or related field
- At least 10 years of experience in Internal Audit, Technology Risk, Data Governance, Model Risk Management, AI Risk or related
- Strong understanding of AI governance, risk management and controls
- Good understanding of technology, cyber security, data management and model risk
- Strong analytical, problem-solving, communication and stakeholder management skills
- Experience coaching and developing teams
- CIA, CISA, CRISC or AI-related certifications advantageous
Responsibilities
- Lead and execute audits of AI, GenAI and Agentic AI ecosystem
- Assess governance structures, accountability and risk ownership across L1, L1.5 and L2
- Review controls across the AI lifecycle and identify gaps and root causes
- Partner with Technology, Cyber Security, Data, Model Risk and Business Audit teams
- Develop AI audit methodologies, testing approaches and assurance frameworks
- Serve as AI audit subject matter expert, providing training and coaching
- Communicate audit observations and emerging risks to senior management
- Monitor AI developments, standards and regulatory expectations
