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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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Invisible Work of OpenStack: Eventlet Migration
  • 25 Mar 2025

Hear from Jay, an Open Source Software Engineer, on tackling technical debt in OpenStack. As technology evolves, outdated code becomes inefficient and harder to maintain. Jay highlights the importance of refactoring legacy systems to keep open-source projects sustainable and future-proof.

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SXSW 2025: Key takeaways from our Engineers
  • 24 Mar 2025

At G-Research we stay at the cutting edge by prioritising learning and development. That’s why we encourage our people to attend events like SXSW, where they can engage with industry experts and explore new ideas. Hear from two Dallas-based Engineers, as they share their key takeaways from SXSW 2025.

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G-Research February 2025 Grant Winners
  • 17 Mar 2025

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

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Latest events

  • Quantitative Engineering
  • Quantitative Research

Women in Quant Finance

15 Jun 2025 - 16 Jun 2025 1 Soho Place, London, W1D 3BG
  • Quantitative Engineering
  • Quantitative Research

Pub Quiz: Paris

15 May 2025 Paris - to be confirmed after registration
  • Quantitative Engineering
  • Quantitative Research

Stanford Quant Challenge

30 Apr 2025 Sheraton Palo Alto Hotel, 625 El Camino Real, Palo Alto, CA 94301, US

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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