Quant jobs / G-Research

Quantitative Researcher – Experienced

A pure research role at G-Research aimed at people with an established research record. The work predicts global market movements with statistics and large-scale compute.

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.

Run self-directed research projects on predicting market moves
Apply advanced statistical and ML methods to large financial datasets
Test ideas against real data and iterate with colleagues
Contribute to the firm's research pipeline with published-quality rigour

What they ask for

Required

Experience in a sophisticated research environment
Master's or PhD in a highly quantitative subject
Strong programming in at least one language
Track record of impactful research in academia or industry

Education: Master's or PhD in maths, statistics, CS, physics or engineering
Experience: Self-directed research in finance, technology or academia with demonstrable impact

How to prepare

Complete a research project end to end with a clear writeup and reproducible code
Study time-series prediction with strict out-of-sample validation
Practise rigorous statistics: multiple testing, regularisation and robustness checks
Be ready to present your research track record in depth

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 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.