Quant jobs / G-Research

Research Engineer

An engineering role at a London quant firm, building the trading, simulation and research platforms that researchers rely on. It sits in the engineering group, working alongside quant researchers.

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.

Speed up the core simulation engine used to test strategies
Build and harden back-testing and strategy-monitoring tools
Improve the path from research code to production for ML models
Work on the reliability of trading systems that run around the clock
Build workflow tooling that quant researchers use daily

What they ask for

Required

Strong software engineering and architecture skills
Algorithms and data structures
C#
Python
End-to-end ownership of delivery
Clear communication with researchers
Interest in quantitative finance

Preferred

Performance and scalability tuning
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

Build a small event-driven back-tester in Python and port the hot loop to a compiled language
Practise algorithm and data-structure problems with a focus on complexity
Profile and optimise a numerical workload, writing up what you learned
Read about how research code is promoted to production systems

What to study

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.