“Working at G-Research has been a great experience. Everyone has shown a willingness to collaborate across teams and timezones, making the transition into my new role as easy as possible. That, combined with the high priority for staying up to date with the latest trends, has provided lots of learning opportunities, and It’s been great to attend conferences in person and participate in virtual training courses.
“G-Research combines a great work-life balance within a fast-paced environment, I have experienced faster turnaround times when working with other teams and being able to deliver my own results compared to other places I have worked. This helps me see the impact of my work as I can get faster feedback from stakeholders, which is very rewarding.”
"My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and Machine Learning projects to stay ahead of industry standards."
"It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!"
"The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me."
"The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!"
"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."
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 As technology evolves, outdated code becomes inefficient and harder to maintain.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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