Quant jobs / Point72

Quantitative Analyst / Software Developer – KEPL

A hybrid research and development role in Cubist's KEPL team, which runs medium-frequency statistical arbitrage strategies. You would help expand the strategies into new markets and build the infrastructure around 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.

Carry out quantitative research that supports the team's strategies
Build tools that make research and trading faster and more reliable
Maintain and improve the production trading system
Extend the system to new markets and asset classes

What they ask for

Required

Master's or PhD in maths, physics, computer science, engineering or similar
1-3 years in software development or quantitative research
Quantitative skills combined with programming
Python 3 and either C++ or Java
Linux familiarity

Education: Master's or PhD in maths, physics, computer science, engineering or a related discipline
Experience: 1-3 years in software development or quantitative research
Languages and tools: Python
C++
Java
Markets: equities, multi-asset

How to prepare

Build a small statistical arbitrage backtest in Python and a faster version in C++ or Java
Study pairs trading, cointegration and factor-neutral portfolio construction
Practise writing production-quality, tested code on Linux
Learn how research infrastructure is structured, from data to backtest to execution

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.