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."
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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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 Società Italiana di Intelligence.
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We’re thrilled to announce the launch of a brand-new Scholarships programme, fully-funding 42 PhD students across the UK through our NextGen programme.
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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 January grant winners.
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Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
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In this NeurIPS paper review series, Julian, Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Andrew, Quant Research Manager, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Hugh, Scientific Director, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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