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.
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.
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 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."
"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."
"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."
"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."
"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."
Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
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In this NeurIPS paper review series, Julian, Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Andrew, Quant Research Manager, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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We find patterns in noisy, real-world datasets to predict movement in financial markets.
We collaborate with researchers, design real-time platforms and process massive datasets at speed and scale.
We partner with and invest in the open source community.
