Quant jobs / GIC Private Limited

Associate/AVP, Quantitative Strategist, Private Equity

GIC’s private-equity quantitative strategist applies data and AI to investment decisions. The role develops reusable analytical products and works with deal teams from investment thesis through portfolio monitoring.

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.

Prototype data-driven tools for deal and thematic analysis
Analyse alternative and proprietary information
Build reusable AI and analytical products
Explain evidence and uncertainties to investment teams

What they ask for

Required

Data science or quantitative research
Python and SQL
Databricks
Generative-AI applications
LLM retrieval methods
Structured and text-data analysis
Investment-user communication

Preferred

Private-equity investment experience
Cloud AI platforms
Vector databases

Education: Quantitative, computing, economics or finance degree; level is unspecified.
Experience: Relevant quantitative or data-science experience; private-equity exposure is advantageous.
Languages and tools: Python
SQL
Databricks

How to prepare

Build a cited analytical prototype for a company or sector
Demonstrate reproducible data preparation in Databricks
Evaluate an LLM-generated investment insight against source evidence

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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.