Quant jobs / G-Research

Quantitative Developer

A developer role at a London quant firm, building trading, simulation and research systems alongside researchers. It sits in the engineering group that supports the whole research effort.

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.

Optimise the simulation engine that validates strategies
Develop back-testing and performance-monitoring frameworks
Help connect high- and low-frequency trading systems
Make research-to-production smoother for ML models
Build workflow tools for researchers

What they ask for

Required

Well-engineered software
Algorithms and data structures
C#
Python
End-to-end ownership
Clear communication
Interest in quantitative finance

Preferred

Distributed ML training
Open-source contributions

Education: No degree level stated
Experience: Not stated; the profile implies established software engineering experience
Languages and tools: C#
Python

How to prepare

Write a back-testing engine and test it against known results
Practise performance profiling on numerical code
Build a small trading-simulator with realistic order handling
Review software-design patterns for large research codebases

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on G-Research’s site before applying: requirements, location and pay can change after we check them.

View the posting on G-Research’s site ↗

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