Josh, Quantitative Research Intern
Fact file
Position: Quantitative research Intern (10-weeks)
Team: Quantitative Research
Before G-Research: PhD student in Computational Statistics at the University of Bristol
“During my internship, I worked on improving existing research approaches and exploring new methods. Day to day, I constructed and ran experiments, analysed the results and used what I learnt to iterate on my approach and improve the overall prediction.
“I was surprised by how much access I had to G-Research’s compute. I was able to run a significant number of experiments, similar to a full-time researcher, which gave me the freedom to explore different ideas through experimentation.
“That experience has taught me a lot about what makes a good experimental researcher, which I’ll be able to take back to my PhD. It’s also given me a much clearer understanding of what working as a quantitative researcher involves.
“If you’re thinking of applying for a quantitative research role, show curiosity and engage with everything you can. I’d also recommend making sure you have a really strong understanding of the fundamentals.”
What our people say
"What’s stood out is how much ownership I’ve had without ever feeling like I was on my own. I’ve been treated as part of the team, with people always happy to answer questions, discuss ideas or help when I need it."
"G-Research gave me a unique experience where I'm surrounded by both very talented and very approachable people and where my contributions are impactful."
"We had a lot of freedom to explore different aspects of the project and really make it our own, which I really enjoyed."
"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."
"My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."
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