Quant jobs / Squarepoint Capital

Junior Quant Developer

A developer working beside researchers and traders to build trading strategy software and research tools. Backtesting large proprietary datasets is part of the job.

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.

Build tools applying statistical methods to find trading opportunities
Run and analyse backtesting simulations
Monitor strategy impact over time
Work on cross-team software initiatives

What they ask for

Required

Quantitative degree
Python, C++ or KDB+/q
Up to 4 years in software or quant development
Interest in finance and global markets
Git and Linux
Using AI tools in development work

Preferred

Master's or higher
Deep knowledge of an asset class
SQL and databases
Financial data experience

Education: Degree in applied maths, physics, engineering, quantitative finance, computer science or similar; master's a plus.
Experience: Up to 4 years in software or quant development.
Languages and tools: Python
C++
KDB+/q
SQL

How to prepare

Build a vectorised backtester in Python with tests
Learn KDB+/q for time-series queries
Study how financial data is cleaned and stored
Practise git workflows in a team project

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

View the posting on Squarepoint Capital’s site ↗

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