Quant jobs / Squarepoint Capital

Quant Developer (Python)

A developer role in Squarepoint's Quantitative Development team, building scalable research and trading workflows with researchers. You own projects through their full engineering lifecycle.

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.

Design workflows researchers use for research and trading
Reuse and standardise software components globally
Own projects from design through deployment
Provide level 2 support for critical components

What they ask for

Required

4+ years with Python, C++ or KDB+/q
Applied maths, physics, engineering, finance or CS degree
Finance, data storage and analysis knowledge
Version control and agile development
Technical communication

Preferred

Advanced quantitative skills
Requirements analysis and design
CI, logging and monitoring
Database experience

Education: Degree in applied maths, physics, engineering, quantitative finance or computer science.
Experience: 4+ years with Python, C++ or KDB+/q.
Languages and tools: Python
C++
KDB+/q

How to prepare

Build a scalable Python research pipeline with tests
Learn data storage trade-offs for time-series
Practise reading and refactoring large codebases
Study software design and CI practice

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.