Job Details
Machine Learning Research Internship
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
The role
- 10-week summer programme (23rd June to 29th August 2025)
- 09:00-17:30 working hours
- Based in Central London
Over the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Machine Learning (ML) practitioner at a leading quantitative finance research firm.
Our full-time ML researchers use a wide range of tools and techniques in an applied setting, putting their expertise to use in direct, production-ready applications with immediate results. They have access to vast computing resources and are limited only by their imagination.
As an ML intern, you will have the opportunity to experience some of this as part of a 10-week programme working on a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.
You will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields. Your internship will culminate in a final presentation of your research ideas to senior management.
Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative finance and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events.
Top performers on the programme will be considered for full-time opportunities on completion of their studies.
Who are we looking for?
The ideal candidate will, at a minimum, have experience in the following areas:
- A post-graduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. PhD level study is preferred
- Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
- Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models
- Strong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter
Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.
Why should you apply?
- Highly competitive compensation plus accommodation
- G-Research community with weekly intern activities
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave pro-rated
- Informal dress code and excellent work/life balance
- Central London office close to 5 stations and 6 tube lines
About G-Research
At G-Research, we are passionate about the intersection of finance, technology, and the future.
We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
We are proud to offer challenging summer internships and year-long placement opportunities for students across G-Research.
Our interns gain hands-on experience with real projects, get access to leading training programmes and are partnered with a mentor for the duration of their time with us.
How to apply
To apply for this role and to find out more, please click on the apply button.
Please note that applications may close before the application deadline, so apply early to avoid disappointment.
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