Job Details
Quantitative 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 Quantitative Researcher at a leading quantitative finance research firm.
You will be given a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.
Using rigorous scientific methodology, robust statistical analysis, and pattern recognition, you will extract meaningful predictive signals from financial time-series and use these to predict future dynamics.
Your project will give you the opportunity to use a wide range of techniques in areas such as mathematical modelling, deep learning, optimisation, and machine learning in a practical and challenging context. Additional work may involve the implementation of back-testing frameworks to ensure signal robustness, or the creation of a pipeline which constructs and simulates the performance of a portfolio derived from various input signals.
For the duration of the internship, you will collaborate with one of our Quantitative Researchers who will act as a mentor as you work on your independent project. You will receive structured feedback and reviews to help you to improve and develop, culminating 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 internship 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:
- Strong background in mathematics
- Intermediate level of programming in at least one OO language (Python/C# desirable)
- An interest in applying data science, machine learning and optimisation techniques to real-world problems
- You should be in the final or penultimate year of a Masters or PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering or Computer Science. PhD preferred
- We also like to see active GitHub/Kaggle profiles, but these aren't a prerequisite
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.
G-Research
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