“I joined G-Research and the Compute Management team in 2023 as a Platform Engineer, where I focus on virtualization and creating automated processes for Linux based services.
“G-Research has provided a rich environment for learning, providing access to new technologies and consistently offering help to continue growing. The commitment to professional development through workshops, training sessions, and online courses has been instrumental to my growth. Our team is also highly collaborative with an environment that values open communication and discussion.
“The best thing about working at G-Research is being around such smart people, it motivates you to always want to grow and learn.”
"The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me."
"The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible."
"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."
"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."
"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."
Hear from our Head of Forecasting Engineering on why the term "tech debt" has outlived its usefulness. In this blog, he explores why we should move away from generic labels and instead ask more precise, value-driven questions that lead to meaningful improvements in engineering and business outcomes.
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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 March grant winners.
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Hear from Jay, an Open Source Software Engineer, on tackling technical debt in OpenStack. As technology evolves, outdated code becomes inefficient and harder to maintain. Jay highlights the importance of refactoring legacy systems to keep open-source projects sustainable and future-proof.
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