“Having started my university education in Engineering at MIT, finance didn’t initially seem like an option. But, after a discussion with my peers, I steered my PhD research towards more applied maths topics – positioning myself for a finance role.
“There was a lot I didn’t know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious, and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will.
“There’s nowhere I’d rather be. The atmosphere is very relaxed and, as a quantitative researcher, we can pretty much spend all our time doing what we like the most: finding solutions to interesting and challenging problems. There are no office politics and the performance metrics couldn’t be clearer cut, which is a big motivational factor.”
"Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time."
"My favourite thing about working at G-Research is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."
"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)."
"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom (compared to academia)."
"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."
Hear from our Head of Forecasting Engineering on why the term "tech debt" has outlived its usefulness. In this blog, he explores why we should move away from generic labels and instead ask more precise, value-driven questions that lead to meaningful improvements in engineering and business outcomes.
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Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our March grant winners.
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Hear from Jay, an Open Source Software Engineer, on tackling technical debt in OpenStack. As technology evolves, outdated code becomes inefficient and harder to maintain. Jay highlights the importance of refactoring legacy systems to keep open-source projects sustainable and future-proof.
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