Quant jobs / Point72

Summer 2027 Quantitative Research Internship

A summer 2027 research internship in Cubist's KEPL team, which trades medium-frequency statistical arbitrage. Interns usually come from quantitative PhD programmes and may be considered for full-time offers.

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.

Work on new quant trading models with full-time researchers
Develop research skills through structured training
Analyse data and test model ideas for statistical arbitrage
Prototype in Python or C/C++

What they ask for

Required

PhD candidate in maths, physics, statistics, EE, CS or similar
Computational maths, probability and statistics
Strong analytical skills
Python or C/C++
Willingness to own work in a start-up setting

Education: PhD candidate in maths, physics, statistics, electrical engineering, computer science or other quantitative fields.
Experience: PhD students; no professional experience stated.
Languages and tools: Python
C
C++
Markets: equities, futures, fx

How to prepare

Learn the basics of statistical arbitrage: pairs, cointegration, factor-neutral residuals
Build a small backtest of a mean-reversion strategy
Review probability, stochastic processes and estimation theory
Practise solving hard quantitative problems rigorously

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 Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.