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Our Engineering teams partner with our researchers, design real-time platforms and process massive datasets at speed and scale.

We solve some of the world’s most complex financial problems; without our engineers, we couldn’t. The size and breadth of our Engineering function reflects the critical work they do.

Quantitative Engineering

Our quantitative engineers are the enablers of our success. They work side-by-side with our researchers at the bleeding-edge, with near-infinite compute power at their fingertips, to achieve our aim: predicting the future.

We have specialist teams in machine learning, data engineering and high-performance, low-latency systems.

Infrastructure Engineering

We deliver a complex infrastructure that stores and processes phenomenal amounts of data daily.

We constantly seek out ways to automate and innovate, from exploring cloud technologies and flash scalable storage to grid computing and adopting an infrastructure-as-code mindset – anything that gives us the research edge.

Our Size and Scale

We have access to around 300 Petabytes of storage. That's enough to store every piece of data you would generate over 100 lifetimes.
Kafka clusters in production handle 90 billion events and messages per day. That's almost twice as many messages as are sent on WhatsApp globally each day.
Systems we have developed are used to collect and ingest 80TB of log data per day. That's around 8 times all of the works in the Library of Congress, every day.

What Our People Say

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Simon Technical Signals Engineering Manager

"I continue to be blown away by the quality of the people I get to work with here: G-Research thrives because of its team culture and we’ve hired carefully to make sure everyone is both exceptionally smart and great to work with."

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work at G-Research."

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Alexander Software Engineering Manager

"G-Research has been able to bring together and invest in a variety of backgrounds and expertise to form a friendly culture that seeks to push boundaries wherever possible."

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Mia Infrastructure Development 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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"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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Neil Corporate Infrastructure and Security Engineering Manager

"My favourite part of working for G-Research is that Technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition."

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"Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time."

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"My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together. It’s also great to be able to use the latest tech, like Kubernetes and Kafka."

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Ross Cloud Engineering Manager

"My favourite thing about working at G-Research is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."

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Assessment Process for Engineering

We look for outstanding engineers with varied experience depending on the role and team you’re interested in. Learn more about our assessment process.

Online Application

Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.

Stage One: Technical Interview

You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.

Stage Two: Behavioural Interview

We will set aside technical skills and focus on you.

Stage Three: Further Technical Interviews

Here, we will take a deeper dive into your technical skills and competencies.

Stage Four: Management Interviews

The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.

Our Opportunities

Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.

Latest news

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G-Research 2024 PhD prize winners: Imperial College London
  • 18 Jun 2024
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G Research
G-Research May 2024 Grant Winners
  • 06 Jun 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our April grant winners.

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G-Research 2024 PhD prize winners: University of Oxford
  • 03 Jun 2024
Read article

Latest events

  • Machine Learning
  • Quantitative Research

Eastern European Machine Learning (EEML) Summer School

15 Jul 2024 - 20 Jul 2024 Naučno Tehnološki Park, University of Novi Sad, Fruškogorska 1, Novi Sad, Serbia
  • Machine Learning
  • Quantitative Research

MLx Representation Learning and Generative AI

11 Jul 2024 - 14 Jul 2024 Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter (550), Woodstock Road, Oxford, OX2 6GG
  • Quantitative Research

Barcelona Quant Challenge

27 Jun 2024 - 27 Jun 2024 H1898 Hotel - Barcelona  La Rambla, 109, Ciutat Vella, 08002 Barcelona, Spain

Other teams

Quantitative Research & Machine Learning

We find patterns in noisy, real-world datasets to predict movement in financial markets.

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Technology Innovation Group

We identify, test and on-board the latest tech, enabling our researchers and engineers to keep innovating.

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Open-Source Software

We partner with and invest in the open-source community.

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