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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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An image of Sokratis

"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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An image of Owen

"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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G Research
G-Research March 2024 Grant Winners
  • 15 Apr 2024

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

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Insights from SXSW 2024: Reflections of a G-Research Software Engineer
  • 08 Apr 2024

Here, Michael W, an engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

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Insights from SXSW 2024: Reflections of a G-Research Platform Engineer
  • 22 Mar 2024

Here, Robin L, a Big Data Platform engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

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Latest events

  • Climate Change

Research Café Talk with Lord Martin Rees

24 Apr 2024 West Hub, Cambridge, CB3 0FZ
  • Quantitative Engineering
  • Quantitative Research

TUM Quant Challenge at the TUM Makeathon

27 Apr 2024 Technical University of Munich
  • Quantitative Engineering
  • Quantitative Research

Tubingen Quant Challenge

25 Apr 2024 Hotel Krone, Uhlandstrasse 1, 72072 Tübingen, Germany

Other teams

Quantitative Research & Machine Learning

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

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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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