Hear more from our Head of Forecasting Engineering and learn how to keep your projects on track by embracing constant change and acting quickly.
Read articleMia
“I work as a Software Engineer in infrastructure development, part of platform engineering. We do project-based development, mainly for services other teams across the company need.
“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.
“The company is also committed to learning and development too. For example, you can access a wide range of training courses and attend talks designed to support professional growth. That, along with the good work-life balance on offer, are some of the features that make G-Research a great place to work.”
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."
"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)."
"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."
"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."
"There was a lot I didn't know about the 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."
Latest News
Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our August grant winners.
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Hear more from our Head of Forecasting Engineering and learn how to keep your projects on track by embracing constant change and acting quickly.
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- Quantitative Engineering
- Quantitative Research
Oxford Coding Challenge
23 Oct 2024 University of Oxford, Computer Science Lecture Theatre A, 7 Parks Rd, Oxford, OX1 3QG- Quantitative Engineering
- Quantitative Research
Cambridge Coding Challenge
28 Oct 2024 East Hub 1, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0US- Quantitative Engineering
- Quantitative Research