Quant jobs / Jain Global
Quant Research Intern – Systematic Trading (Summer 2027)
A summer internship in the systematic trading team of a multi-strategy hedge fund. You work with researchers and developers on data-driven strategies and the systems behind them.
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.
- Clean and organise large financial datasets
- Build and test models for pricing, forecasting and trading
- Help design systematic strategies with researchers and developers
- Speed up and de-risk research processes
What they ask for
Required
- Pursuing a Master's or PhD in ML, computational finance, maths, CS, statistics or similar
- Python or another OO or functional language
- Statistical modelling, linear and non-linear
- Large-dataset analysis
- Teamwork and communication
- Education
- Currently pursuing a Master's or PhD in a quantitative field
- Experience
- Current students; possible full-time offer afterwards
- Languages and tools
How to prepare
- Build a cleaned dataset and a documented back-test in Python
- Revise linear regression, regularisation and tree-based models
- Study how to test for overfitting in trading research
- Prepare a short project write-up you can present
What to study
- Probability, Statistics and Financial Data
- Econometrics and Financial Time Series
- Python for Quantitative Finance
- Quantitative Research, Data and Backtesting
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Jain Global’s site before applying: requirements, location and pay can change after we check them.
View the posting on Jain Global’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Jain Global and doesn’t handle applications.
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