VP, Risk Quantitative Analyst
GIC’s enterprise risk team develops and validates portfolio-risk methodologies. This quantitative role turns research prototypes into analytics that can be implemented and understood by investment users.
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.
- Research portfolio-risk methods across public and private assets
- Prototype models and challenge calibration assumptions
- Define validation cases and implementation logic
- Explain methodological choices to risk and product teams
What they ask for
Required
- Eight or more years in relevant quantitative work
- Quantitative postgraduate qualification
- Risk-methodology expertise
- Research programming
- Model assumption and calibration analysis
- Stakeholder communication
Preferred
- Institutional multi-asset portfolios
- Education
- Master or higher qualification in a quantitative or technical field.
- Experience
- 8+ years in quantitative risk, portfolio analytics, model review or financial modelling.
- Languages and tools
- Markets
- multi-asset
How to prepare
- Compare two portfolio-risk methods with explicit limitations
- Build a validation set for a numerical risk model
- Document research logic sufficiently for independent implementation
What to study
- Quantitative Risk Management
- Portfolio Theory and Quantitative Investment
- Financial Instruments, Markets and Conventions
The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on GIC Private Limited’s site before applying: requirements, location and pay can change after we check them.
View the posting on GIC Private Limited’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with GIC Private Limited and doesn’t handle applications.