Graduate Quant Developer
A graduate developer role building production-grade libraries and data workflows for Squarepoint's researchers and traders. It is designed to grow early-career engineers into owners of technical components.
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 and extend research libraries and tools
- Implement data processing workflows that feed alpha research
- Support analytics across several asset classes
- Take over small technical components over time
What they ask for
Required
- Quantitative or CS degree
- Python, C++ or KDB+/q
- Software development exposure
- Linux and git
- Using AI tools in development work
- Clear communication
Preferred
- More than one core language
- Exposure to quant finance or markets
- Prior financial or tech experience
- Education
- Degree in maths, physics, engineering, computer science or a similar quantitative subject.
- Experience
- Graduates; internships or projects count as development experience.
- Languages and tools
How to prepare
- Build a documented Python package with tests and git history
- Practise a time-series query language such as KDB+/q
- Learn Linux basics and command-line workflows
- Complete a small project on market data processing
What to study
- Python for Quantitative Finance
- Quantitative Data Engineering
- Modern C++ for Quantitative Finance
- Finance Primer
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.