Quantitative Engineering

A critical team within G-Research. Quantitative Engineers work alongside our world-class Quantitative Researchers to help facilitate and apply the cutting edge work we undertake.
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Engineering and Mathematical Excellence

Acting as a conduit between the engineering and research divisions, Quantitative Engineers have a direct impact on the business’ performance, translating features and ideas into tangible projects and platform developments.

Our Quantitative Engineers undertake work such as applying novel machine learning ideas to our datasets using our in-house compute farm; adding new features to open source machine learning packages; and applying numerical methods to compute solutions to quants’ mathematical models in a latency-sensitive environment.

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World-Class Colleagues, Cutting-Edge Problems

Being part of the Quantitative Engineering team gives you the chance to exercise technical expertise in relation to challenging, cutting-edge mathematical problems. You will be working with and supporting some of the brightest quantitative researchers in their fields, utilising and developing a world-class proprietary platform.

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 To become a Quantitative Engineer at G-Research, you need to be an outstanding software engineer with a strong mathematical understanding. Experience working with data scientists or quantitative researchers is beneficial but we don't expect a financial background. Exposure to machine learning, either through professional or personal projects, is beneficial.
Interview Process You’ll have an initial phone interview to discuss the role with us, and a technical test to check you have relevant expertise. This is followed by several interviews with the team you’ll be joining, where you may be asked to further demonstrate technical skills relevant for the role. You’ll also have the chance to meet your future colleagues, get a sense of the daily work you would undertake, and discover what the team has planned for the future.

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