Matteo, Quantitative Research Intern
Fact file
Position: Summer Research Programme Intern (10-weeks)
Team: Quantitative Research
Before G-Research: I’m nearing the end of my PhD at EPFL, Switzerland, where my research focuses on the boundary between statistical physics and computer science
“What excites me most about my internship at G-Research is the opportunity to apply cutting-edge technologies to solve real-world challenges. Coming from a theoretical background, I’ve learned a great deal about translating complex methods into practical applications – and having access to world-class technology makes that process incredibly rewarding.
“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.
“I’ve had the chance to work with brilliant colleagues from diverse backgrounds who are always open to discussion. This creates a dynamic exchange of ideas and a healthy sense of challenge as we work toward shared goals. Everyone is genuinely invested in each other’s success, which is both motivating and inspiring – and pushes you to keep growing.”
What our people say
"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."
"Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey."
"The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."
"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."
"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."
Latest news
Latest events
- Platform engineering
- Software engineering
Cambridge coding challenge
29 Oct 2025
University of Cambridge, West Hub
- Platform engineering
- Software engineering
Oxford coding challenge
22 Oct 2025
University of Oxford, Computer Science Department
- Quantitative engineering
- Quantitative research
Cambridge quant challenge
20 Oct 2025
University of Cambridge, Centre for Mathematical Sciences