Quant jobs / G-Research

Quantitative Researcher – Fundamental Equity Research

A route for experienced fundamental equity analysts to move into quantitative research at G-Research. The role builds mathematical models of price moves from many data inputs.

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.

Combine equity domain knowledge with data to model price movements
Test ideas with real-world data in a research setting
Learn the firm's coding and statistical tools while contributing early
Help translate fundamental insights into systematic signals

What they ask for

Required

Strong background in fundamental equity research
Knowledge of financial markets
Solid maths from a STEM subject
Some coding ability or motivation to learn quickly
Enthusiasm for moving into quant work

Education: Maths, physics or related STEM background
Experience: Career experience in fundamental equity research
Markets: equities

How to prepare

Learn Python and pandas well enough to test a fundamental idea on data
Build a simple factor model such as value or quality and test it
Revise statistics and linear algebra for modelling
Practise explaining how a fundamental thesis can become a testable signal

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.