Summer Research Programme
Learn more about our 10-week summer internship in the heart of central London.We are a leading quantitative research and technology firm.
We hire the brightest minds to tackle the biggest questions in finance. We pair our people’s expertise with machine learning, big data, and emerging tech to predict movements in financial markets.
Applications for our internships are now open! Learn more and apply.
Internship in quantitative finance
What is it?
Our Summer Research Programme is a ten-week internship that gives participants an in-depth insight into G-Research’s academic approach to the world of quantitative finance.
Under the mentorship of an experienced Researcher, you will undertake a challenging research project that gives you a chance to gain a unique insight and exposure into life at a world leading quantitative research and technology firm.
A significant proportion of our interns go on to become permanent G-Research employees.
Key information
The 2026 Summer Research Programme runs for 10 weeks – 22nd June to 28th August 2026.
The entirety of the programme takes place at 1 Soho Place, G-Research’s London office.
During your 10-week internship, you will be given a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.
Past projects
- Predict company results based on analysts’ estimates, historical and technical data. Build a prediction engine based on machine learning models.
- Forecast combination, combining signals optimally by identifying and correcting various biases, using statistical and machine learning techniques
- Predict the distribution of possible uncross prices at the end of closing auctions, primarily using data from the auction orderbook
- Explore new forms of media, learning how can we extract useful information from audio and video using the latest multimodal machine learning models
Stage 1: Online Quiz and Triage
You will be asked to complete one of two quant quizzes; either a general quantitative aptitude assessment, or an ML specific one, depending on your background. If you pass the online quiz, you’ll be invited to a triage interview where we we’ll take the opportunity to understand more about your technical skills and research background.
Stage 2: Meet the Mentors
At this stage, you will meet up to three potential mentors. They will discuss their project with you and probe on more in-depth technical questions in mathematics, programming, statistics, machine learning, and finance.
Stage 3: Meet Senior Leadership
Following the successful completion of the mentor technical interviews, you will meet one of the Deputy Heads of Research. They will assess your skills in relation to the specific internship project you might work on, as well as the mentor’s general area of research. Culture, team fit and possible intern-to-permanent hire conversion will also be assessed at this final stage.
If all goes well, we will then extend a formal internship offer.
Ready to apply? Check out our recommended reading list to help you prepare!
What our interns say
"My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."
"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."
