Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our April grant winners.
Read articleSebastian
“My job is to find market patterns and use those to forecast future market movements. The core part of it is finding what we call signals, that build on some insight or model to predict the market.
“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) in that aspect.
“We have tight integration with Engineering, and my team has embedded engineers working with us directly on the same projects. This is very helpful, because it means that you have people from slightly different backgrounds coming together, covering both the Software Engineering and the Quantitative Research side, to solve difficult problems.”
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"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)."
Latest News
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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- Quantitative Engineering
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SIAM Conference on Financial Mathematics and Engineering
15 Jul 2025 - 18 Jul 2025 Hyatt Regency Miami, 400 SE 2nd St, Miami, FL 33131, United States- Quantitative Engineering
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Imperial PhD Careers Fair
10 Jun 2025 Queen's Tower Rooms, Sherfield Building, South Kensington Campus, Imperial College London, London, SW7 2AZ- Quantitative Engineering
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