Quant jobs / G-Research

Machine Learning Research Internship

A 10-week summer internship at G-Research for ML students, working on a mentored research project. It shows how ML is applied in production-oriented research.

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 an ML research project with a mentor
Apply advanced ML methods to the firm's noisy datasets
Develop custom models when standard methods fall short
Present results to senior management

What they ask for

Required

Postgraduate ML study or commercial experience building novel algorithms
Deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
Strong mathematical reasoning
Python, scikit-learn, SciPy, NumPy, pandas, Jupyter

Preferred

PhD-level study
Strong Kaggle results

Education: Postgraduate degree in machine learning or related; PhD level preferred
Experience: Postgraduate study or commercial experience developing ML algorithms; no finance needed
Languages and tools: Python

How to prepare

Build a research-style ML project with clear baselines and ablations
Study why ML methods overfit noisy financial data
Implement a model from scratch rather than relying on a library
Write up results as a short report, then practise presenting it

What to study

The NLP and ML Quant 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.