Quant Research Internship

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.

Throughout the internship, you will collaborate closely with a Quantitative Researcher who will mentor you as you complete 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 quantitative finance. You will also have the opportunity to explore London and get to know your fellow interns and colleagues through a full itinerary of social events.

Top performers on the internship will be considered for full-time opportunities on completion of their studies.

Who are we looking for?

- Strong mathematical background
- Intermediate level of programming in at least one object-oriented language, ideally Python or C#
- Interest in applying data science, machine learning and optimisation techniques to real-world problems
- 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, with a PhD preferred
- Active GitHub or Kaggle profiles are desirable but not essential
- Previous experience in finance is not required, but an interest in finance and a willingness to learn are essential

Benefits:

- 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

The programme runs for 10 weeks from 21st June to 27th August 2027, with working hours of 09:00–17:30, based in Central London.