Skip to main content
We're enhancing our site and your experience, so please keep checking back as we evolve.

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

An image of Mia
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."

Find out more
An image of Dexter
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
An image of Owen
Owen SOFTWARE ENGINEER

"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."

Find out more
An image of Sokratis
Sokratis SOFTWARE ENGINEER

"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."

Find out more
An image of Ross
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."

Find out more

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

See all news
Insights from SXSW 2024: Reflections of a G-Research Platform Engineer
  • 22 Mar 2024

Here, Robin L, a Big Data Platform engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

Read article
An interview with James Ashton
  • 05 Mar 2024

We spoke to James Ashton (financial journalist and author) on Arm’s success, the widespread use of its technology and some thoughts on what’s next for the business.

Read article
G-Research February 2024 Grant Winners
  • 29 Feb 2024

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

Read article

Latest events

  • Quantitative Engineering
  • Quantitative Research

TUM Quant Challenge at the TUM Makeathon

27 Apr 2024 Technical University of Munich
  • Quantitative Engineering
  • Quantitative Research

Tubingen Quant Challenge

25 Apr 2024 Hotel Krone, Uhlandstrasse 1, 72072 Tübingen, Germany
  • Machine Learning
  • Quantitative Research

ICCF 2024

02 Apr 2024 - 05 Apr 2024 Center for Mathematics and Computer Science, Science Park 123, 1098XG Amsterdam, The Netherlands

Other teams

Quantitative Research & Machine Learning

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

Learn more
Technology Innovation Group

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

Learn more
Open-Source Software

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

Learn more

Stay up to date with
G-Research