Hear from Florian, Open-Source Software Engineer, in the second part of this two part series, on the challenges and breakthroughs of an internal G-Research initiative aimed at enhancing the .NET developer experience at scale.
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“I joined G-Research in 2021, as a Quantitative Researcher in the NLP team, after completing my PhD in Natural Language Generation at Sorbonne Université.
“My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on.
“Where it improves on my PhD is the fact that I don’t work in isolation. I can share ideas with other quants, engineers and data scientists, I get access to very interesting datasets and a lot of compute to help me deliver on my ideas.”
What Our People Say
"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with Engineers and other Quantitative Researchers."
"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."
"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research’s belief in fostering growth and recognising potential."
"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."
"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."
Latest News
Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our December grant winners.
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We were thrilled to welcome James Maynard, Fields Medallist 2022 and Professor of Number Theory, at the Mathematical Institute in Oxford, on stage for the latest Distinguished Speaker Symposium last month. James’ talk on Patterns in prime numbers hones in on unanswered questions within mathematics and the recent developments that have brought the solutions to those problems closer to reality. Hear more in his exclusive interview with us.
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01 Mar 2025 - 02 Mar 2025 The Nucleus Building, The University of Edinburgh, Thomas Bayes Road, Edinburgh, UK- Quantitative Engineering
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12 Feb 2025 Oxford - to be confirmed after registration- Quantitative Engineering
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