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.
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.
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.
"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."
"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."
"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."
"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."
"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."
"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."
"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."
"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."
"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."
We look for outstanding engineers with varied experience depending on the role and team you’re interested in. Learn more about our assessment process.
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
We will set aside technical skills and focus on you.
Here, we will take a deeper dive into your technical skills and competencies.
The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.
Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.
Hear from Peter, a Software Engineer at G-Research in Dallas, as he delves into his journey with the business, starting with Bootcamp – a bespoke learning programme for new joiners.
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Chase, a Platform Engineer at G-Research, shares her personal experiences working in our vibrant Dallas office and highlights the supportive work environment and lively community we foster.
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Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our June grant winners.
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We find patterns in noisy, real-world datasets to predict movement in financial markets.
We identify, test and on-board the latest tech, enabling our researchers and engineers to keep innovating.
We partner with and invest in the open-source community.
