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A leading quantitative research firm in Cambridge seeks talented engineers to design and build high-performance platforms. Candidates will work on innovative solutions in a collaborative environment, leveraging advanced technologies and methodologies in machine learning and data engineering. The company emphasizes professional growth and flexibility, offering competitive compensation and comprehensive benefits. Join a team that values technical prowess and fosters a supportive culture.
Our engineers design and build advanced platforms and infrastructure that power high-performance solutions, turning complex challenges into real-world results.
Our quantitative engineers, also known as research engineers, are the driving force behind our success. Working side-by-side with researchers at the cutting edge, they leverage near-infinite compute power to help us pursue our ultimate goal: predicting the future.
From machine learning and data engineering to high-performance computing and low-latency systems, our specialist teams build the foundations that turn ambitious ideas into reality.
Our infrastructure is built to handle and process extraordinary volumes of data every day – reliably, efficiently and at scale.
Driven by a mindset of automation and innovation, we explore everything from cloud technologies and scalable flash storage to grid computing and infrastructure as code. Whatever accelerates our teams’ most powerful ideas, infrastructure engineering makes possible.
Alongside highly competitive compensation and an annual discretionary bonus scheme, we offer a wide range of benefits and perks tailored to your needs. From health and family to lifestyle and more, we take care of our people.
Our benefits are designed with our people in mind, with a wide range of flexible options tailored to your needs.
Finance
Health
Lifestyle
We want benefits to work for our people and use a flexible benefits platform to support this – colleagues can opt-in or out of certain benefits and can customise cover levels depending on their lifestyle and personal needs.
"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 here."
"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."
"My favourite thing about working here 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 world-class engineers with varied experience. 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.
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 getting to know 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.
Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.
University of Cambridge tech careers in finance networking event 2026
23 Feb 2026 Oxford - to be confirmed after registration
Quantitative research & machine learning
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.