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

We unite world-class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas don’t happen overnight. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

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 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 world-class 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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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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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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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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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

Pub Quiz: Paris

14 May 2026 Paris - to be confirmed after registration

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Quantitative engineering
Quantitative research

Pub Quiz: Amsterdam

25 May 2026 Amsterdam - to be confirmed after registration

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Quantitative engineering
Quantitative research

Imperial PhD Careers Fair 2026

28 May 2026 Queen's Tower Rooms, Imperial College London

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Latest news

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13 May 2026
News

Building a code review tool: The LLM patterns that actually work

How we built an LLM-powered code review tool for CI, and the engineering patterns that made it reliable - from structured validation and two-pass review to testing non-deterministic systems.

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