VP, Quantitative Research Analyst, Exposure & Liquidity Research, Portfolio Exposure & Liquidity
GIC’s Exposure & Liquidity Research team builds models used to implement the total portfolio. This role focuses on funding, collateral and liquidity decisions across cash and derivative instruments.
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.
- Develop liquidity and collateral analytics
- Research financing and portfolio-implementation choices
- Turn model findings into investment decisions
- Improve the shared research toolkit and guide junior analysts
What they ask for
Required
- Python
- Statistical modelling and backtesting
- Portfolio optimisation
- Large financial datasets
- Communication with investment users
- Treasury or financing expertise
- Collateral, STIR and FX funding knowledge
Preferred
- AI-assisted research
- Implemented research track record
- Education
- Degree in a quantitative subject; qualification level is unspecified.
- Experience
- 8+ years of quantitative treasury, markets-financing, prime-brokerage or financial-resource work.
- Languages and tools
- Markets
- multi-asset, fixed-income, fx
How to prepare
- Compare financing choices under collateral constraints
- Build a liquidity scenario for a multi-asset portfolio
- Explain margin requirements under stressed markets
What to study
- Portfolio Theory and Quantitative Investment
- Quantitative Research, Data and Backtesting
- Quantitative Risk Management
The Treasury and ALM 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.