Machine Learning

Machine Learning is a core part of our Quantitative Research function, playing a key role in effectively predicting movements in financial markets. We employ cutting edge methods drawn from areas such as non-convex optimisation, Bayesian non-parametrics, neural networks and deep learning, approximate inference, kernel methods, and ensemble learning.

High Value, Measurable Impact

We operate in a challenging and highly competitive space, requiring new and innovative approaches. Being part of ML at G-Research will allow you to discover market inefficiencies, with the freedom to extend classical methods and develop entirely new techniques in pursuit of accurate models. Your work will have highly measurable outcomes and a clear and direct impact on the business’ performance.


World-Class ML Colleagues and Support

Working alongside world-class experts in machine learning, you will have access to extensive support and resource to achieve your goals. This includes a powerful proprietary platform, as well as specialist data and quantitative operations teams to ensure your focus will be big problems, not cleaning data or fixing bugs.

Coronavirus Update

While the UK COVID-19 lockdown continues, G-Research is happy to confirm that we will continue to interview, hire, and onboard new staff remotely. Please do not hesitate to send in your application for a role.

Interview Process

What we look for You’ll have a record of academic achievement in mathematics, physics, machine learning, computer science or engineering. There’s no need for experience in finance.
Interview process

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