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.
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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.

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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.

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 You’ll take a 90 minute, handwritten technical test to demonstrate excellence in maths, stats, programming and probabilities. This is followed by interviews. The assessment process is highly challenging, however no prior preparation is required. You can get an idea of what to expect by reviewing our suggested reading list and attempting our sample test questions.

What our people say

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