Quant jobs / Jain Global

Quantitative Research Intern – Equity Arbitrage

An internship in the equity arbitrage and equity derivatives team of a multi-strategy hedge fund. You build and test models that find relative-value mispricings in equities.

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.

Analyse large equity datasets for relative-value signals
Prototype statistical arbitrage, factor-based and pairs-trading models
Test and validate signals with rigorous back-tests
Search for new data sources that improve predictions

What they ask for

Required

Pursuing a Master's or PhD in maths, statistics, financial engineering or similar
Probability, statistics, linear algebra and optimisation
Time series, regression and ML
Python
Large-dataset analysis

Education: Currently pursuing a Master's or PhD in maths, statistics, financial engineering or a related field
Experience: Current students
Languages and tools: Python
Markets: equities, options

How to prepare

Build a pairs-trading or stat-arb back-test with realistic costs
Revise cointegration, mean reversion and factor model concepts
Practise regression and ML on financial time series without look-ahead bias
Read about equity relative-value and arbitrage strategies

What to study

The Quantitative 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 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.