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.
"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."
"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."
"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)."
"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."
Every year, G-Research runs a number of different PhD prizes in Maths and Data Science at universities in the UK, Europe and beyond. We're pleased to announce the winners of this prize, run in conjunction with the University of Oxford.
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Every year, G-Research runs a number of different PhD prizes in Maths and Data Science at universities in the UK, Europe and beyond. We're pleased to announce the winners of this prize, run in conjunction with the University of Cambridge.
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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 April grant winners.
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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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At G-Research we stay at the cutting edge by prioritising learning and development. That’s why we encourage our people to attend events like SXSW, where they can engage with industry experts and explore new ideas. Hear from two Dallas-based Engineers, as they share their key takeaways from SXSW 2025.
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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 February grant winners.
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