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Mia

Hear from Mia, Software Engineer, on the work-life balance at G-Research.

“I work as an AI Engineer within the GenAI Engineering team. Our focus is on delivering AI-driven capabilities and solutions across the business, building projects and services that help other teams make the most of generative AI.

“What I appreciate most about working at G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful, which creates a great balance between being challenged and managing your workload.

“The company’s strong commitment to learning and development is another highlight. You have access to a wide range of training courses and talks designed to foster professional growth. Coupled with a healthy work-life balance, these are some of the reasons why G-Research is such a great place to work.”

What our people say

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Yang Quantitative Researcher

"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."

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Fabian Senior Quantitative Researcher

"The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."

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Clement Senior Quantitative Researcher

"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."

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Dexter Software Engineer

"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."

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Leon Quantitative Research Manager

"There was a lot I didn't know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will."

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Latest events

  • Mathematics

Distinguished Speaker Symposium: Aerodynamics and the Navier-Stokes equations

30 Sep 2025 Grand Temple, London, WC2B 5AZ
  • Quantitative engineering
  • Quantitative research

ETH Zurich quant challenge

07 Oct 2025 ETH Zurich Campus, LEE Building
  • Quantitative engineering
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Paris quant challenge

01 Oct 2025 The Kimpton St Honore Hotel, Paris

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