AVP/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 equity beta, index management and rebalancing 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.
- Research index and equity-beta implementation choices
- Develop tools to reduce tracking error and assess inefficiencies
- Backtest ideas using large financial datasets
- Translate results into repeatable portfolio decisions
What they ask for
Required
- Python
- Statistical modelling and backtesting
- Portfolio optimisation
- Large financial datasets
- Communication with investment users
- Index methodology and corporate actions
- Equity-beta implementation experience
Preferred
- AI-assisted research
- Implemented research track record
- Education
- Degree in a quantitative subject; qualification level is unspecified.
- Experience
- 5+ years in index, ETF or equity-beta research/management.
- Languages and tools
- Markets
- equities
How to prepare
- Reconstruct a point-in-time index rebalance
- Optimise tracking error with trading-cost constraints
- Explain how corporate actions affect implementation
What to study
- Portfolio Theory and Quantitative Investment
- Quantitative Research, Data and Backtesting
- Quantitative Risk Management
The Portfolio and Factor 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.