Curious minds.
Complex problems.
Enduring success.

We are a leading quantitative research and technology firm. We combine world-class people with the power of machine learning, AI and advanced analytics to build smart strategies that succeed over time.

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Our teams

Financial markets do not fit neatly into one discipline. Neither do we. We unite world-class researchers, engineers and technologists in an environment that values deep exploration and methodical execution. Each team has a distinct role, but they are connected by the same goal: turning brilliant thinking into lasting market strategy.

Quantitative research and machine learning

A home for curious minds. We find patterns in noisy, real-world datasets to predict movement in global financial markets – blending mathematical precision with state-of-the-art AI and machine learning.

Engineering and technology

Enabling innovation at scale. We design and maintain the robust infrastructure and high-performance platforms that transform bold research into real-world results.

Technology Innovation Group

Exploring what’s next. We scout, test and integrate the latest technologies - ensuring our teams stay at the forefront of what’s possible.

Open-source software

Driving results through collaboration. We partner with and contribute to the open-source community, building leading tools that benefit our research and the wider world.

Get to know us

We are G-Research, a leading quantitative research and technology firm. From our offices in London, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long, long-term thinking. We apply scientific rigor, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth. Discover where your curiosity could take you.

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What our people say

Fabian Senior Quantitative Researcher

"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."

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Abdullah Software Engineering Intern

"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."

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Mia Software Engineer

"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."

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Matteo Quantitative Research Intern

"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."

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Yousuf Machine Learning Engineer

"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."

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Elizabeth Quantitative Research Intern

"We had a lot of freedom to explore different aspects of the project and really make it our own, which I really enjoyed."

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Sebastian Senior Quantitative Researcher

"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."

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Clement Senior Quantitative Researcher

"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."

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Dexter Software Engineer

"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."

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Samira Software Engineering Intern

"It’s nice to work on something useful, rather than just an intern project. I’ve had feedback from people saying they’ll use the app regularly, which is great to hear."

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Take the next step in your career

Thrive in a collaborative and dynamic environment where smart people learn and grow together.

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Latest events

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Quantitative engineering
Quantitative research

Berkeley quant challenge 2026

05 Oct 2026 University of California, Berkeley, California, US

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Quantitative engineering
Quantitative research

ML in PL conference 2026

08 Oct 2026 - 10 Oct 2026 Copernicus Science Centre, Warsaw

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Quantitative engineering
Quantitative research

Cambridge quant challenge 2026

13 Oct 2026 Main Seminar Room, Isaac Newton Institute

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Latest news

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30 Sep 2026
NextGen

Meet the NextGen scholars: Théo

Our Meet the Scholars series introduces the students supported by G-Research scholarships and the research they're pursuing. In this edition, we meet Théo, a PhD student at UCL exploring how statistical learning, formal logic and large language models can be combined to develop AI systems capable of reasoning.

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