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.

View open vacancies

Metallic surface ripples and folds across a monochrome abstract field of smooth flowing shapes and contrasting light and shadow

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.

Open video transcript

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."

Find out more

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."

Find out more

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."

Find out more

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."

Find out more

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."

Find out more

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."

Find out more

Take the next step in your career

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

Search open roles

Silky black fabric flowing in smooth undulating waves across a flat plane creating soft highlights and shadows in a dim abstract setting

Latest events

See all events

Quantitative engineering
Quantitative research

Pub Quiz: London 2026

23 Sep 2026 London - to be confirmed after registration

More info

Machine learning
Quantitative research

NeurIPS 2026

06 Dec 2026 - 12 Dec 2026 The International Convention Centre, Sydney

More info

Latest news

See latest news

06 Aug 2026
News

Imperial College London adds G-Research to Circle of Benefactors

We've officially signed an agreement with Imperial College London to fully fund PhD scholarships over the next three years as part of G-Research NextGen. The partnership marks another step in our commitment to supporting the next generation of researchers.

Read article