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Technology Innovation Group

The Technology Innovation Group identifies, tests and delivers the latest tech solutions to our business, enabling our Researchers and Engineers to keep on innovating.

Our teams employ cutting-edge technologies to keep G-Research at the forefront of our industry. And it’s the Technology Innovation Group that keeps that tech pipeline fresh.

Operationalising the Right Solutions

The Technology Innovation Group seeks out nascent technologies.

Our team investigates developments in machine learning, cloud services, virtual reality, engineering environments and hardware accelerators. If that tech has the potential to improve what we do or how we do it, it’s tested in our Innovation Lab, a proof of concept is developed and if it delivers, we add it to our tech stack.

A Space to Drive Innovation

The Technology Innovation Group runs our Innovation Lab – a space where anyone can come and run their own experiments on our miniature version of our production tech stack, without the risk of breaking anything.

Within our Lab the team also runs Proof of Concept development. Here, we create prototypes to pilot new ideas or technologies to demonstrate the value they can bring to the business.

Our Lab makes it easy to fail fast and move on to the next potential innovation.

What Our People Say

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Mia Infrastructure Development Software Engineer

"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."

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Yousuf Machine Learning Engineer

"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."

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Sokratis SOFTWARE ENGINEER

"My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together. It’s also great to be able to use the latest tech, like Kubernetes and Kafka."

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Owen SOFTWARE ENGINEER

"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."

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"We're tasked with sourcing the very best, most advanced tech and evaluating how that can benefit our researchers and engineers. Moving quickly on new tech can make a very real impact on the business' success."

Mark Burnett Group Head, Technology Innovation Group

Latest news

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Distinguished Speaker Symposium on Prime Numbers and Cryptography
  • 04 Dec 2024

The G-Research Distinguished Speaker Symposium returns on Thursday 21st November 2024, with an exciting line-up of speakers, as well as an opportunity to learn more about G-Research and network with our team.

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G-Research November 2024 Grant Winners
  • 02 Dec 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our November grant winners.

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G-Research October 2024 Grant Winners
  • 08 Nov 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our October grant winners.

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Latest events

  • Technology Innovation and Open Source

Tech Careers in Finance – University of Cambridge

23 Jan 2025 New Museum Site, Bene't St, Cambridge CB2 3PT
  • Technology Innovation and Open Source

Spring into Quant Finance 2025

06 Apr 2025 - 11 Apr 2025 Saint-Jean-Cap-Ferrat, France
  • Machine Learning
  • Quantitative Research

NeurIPS 2024

10 Dec 2024 - 15 Dec 2024 Vancouver Convention Centre, 1055 Canada Pl, Vancouver, BC V6C 0C3, Canada

Other teams

Quantitative Research & Machine Learning

We find patterns in noisy, real-world datasets to predict movement in financial markets.

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Engineering

We collaborate with researchers, design real-time platforms and process massive datasets at speed and scale.

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Open-Source Software

We partner with and invest in the open source community.

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