Quant jobs / G-Research

Quant Research Internship

A 10-week summer research internship at G-Research in Central London, with a mentored independent project. It ends with a presentation to senior management.

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.

Extract predictive signals from financial time series
Apply mathematical modelling, machine learning and optimisation to a research question
Build backtesting frameworks to check signals hold up
Possibly simulate a portfolio built from several signals

What they ask for

Required

Strong mathematical background
Intermediate object-oriented programming, ideally Python or C#
Interest in data science, ML and optimisation
Final or penultimate year of a Master's or PhD in a technical subject
Interest in finance

Preferred

PhD preferred
Active GitHub or Kaggle profile

Education: Final or penultimate year of a Master's or PhD in a highly technical subject; PhD preferred
Experience: Students; no finance experience required
Languages and tools: Python
C#

How to prepare

Complete a small project predicting a noisy time series, with careful validation
Practise ML basics and optimisation in Python
Build a simple backtester and test how fragile results are
Prepare to present a project clearly in ten minutes

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.