VP - Advanced AI Risk Specialist
UOB’s independent AI risk specialist tests and challenges generative and agent-based systems. The role develops evaluation prototypes and evidence for second-line model-risk decisions.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Conduct independent AI-use-case and control assessments
- Build evaluation environments and benchmark tests
- Investigate model failure modes and adversarial scenarios
- Present validation findings and emerging risks
What they ask for
Required
- Five to ten years in relevant AI or governance work
- Hands-on AI evaluation
- Generative and agent-system architecture
- Benchmark and scenario design
- Prototype development
- Technical risk communication
Preferred
- AI research background
- Model-risk or responsible-AI certification
- Education
- University study in computing, data science, statistics, maths, engineering or a related quantitative field.
- Experience
- 5–10 years in AI or AI/data governance; financial-services experience preferred.
- Languages and tools
How to prepare
- Design a benchmark that measures concrete model failure modes
- Build a small independent evaluation environment
- Explain how test results change a model-risk assessment
What to study
The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on United Overseas Bank’s site before applying: requirements, location and pay can change after we check them.
View the posting on United Overseas Bank’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with United Overseas Bank and doesn’t handle applications.