Deskripsi Pekerjaan
United Overseas Bank (UOB) is seeking a strategic and forward-thinking VP, AI & Data Risk Governance to join our expanding Risk Management division in Singapore. As the landscape of Artificial Intelligence and data-driven decision-making evolves, UOB is committed to maintaining the highest standards of integrity, security, and ethical compliance.
In this pivotal Line 2 oversight role, you will lead the charge in establishing and enforcing enterprise-wide governance frameworks for AI and machine learning initiatives. You will act as a key advisor to stakeholders, bridging the gap between cutting-edge technological innovation and rigorous risk management. The ideal candidate will possess a deep understanding of AI lifecycle risks, data privacy regulations, and financial industry standards, ensuring that the Bank remains both competitive and resilient.
If you are a seasoned risk professional with a passion for emerging technologies and a drive to shape the future of digital banking governance, we invite you to apply.
Tanggung Jawab
- Develop and implement robust AI risk governance frameworks aligned with regulatory requirements and global best practices.
- Provide independent Line 2 oversight for AI model development, deployment, and ongoing monitoring.
- Conduct comprehensive risk assessments on high-impact AI/ML use cases across the Bank’s business units.
- Partner with technology, legal, and compliance teams to define ethical AI guidelines and bias-mitigation strategies.
- Lead the evaluation of third-party AI solution providers to ensure compliance with UOB’s data security and risk standards.
- Report on the maturity and effectiveness of the AI risk control environment to senior management and board-level committees.
- Stay ahead of the regulatory curve regarding AI, data privacy, and cybersecurity legislation in Singapore and international markets.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Data Science, Risk Management, Finance, or a related field.
- Minimum 10-12 years of experience in Risk Management, specifically within Banking or Financial Services.
- Demonstrable expertise in AI/ML governance, model risk management, or data ethics.
- Strong working knowledge of MAS guidelines on AI/Data and relevant international data protection laws (e.g., PDPA, GDPR).
- Proven ability to influence senior stakeholders and drive complex, cross-functional risk initiatives.
- Exceptional analytical skills with the ability to translate technical AI concepts into clear business risk implications.
- Professional certification (e.g., CISM, CRISC, or AI Ethics certification) is highly regarded.