Quantitative Research

Our researchers use the latest scientific techniques and advanced data analysis methods to predict the movements in global financial markets. They have the freedom, support and resources to explore a wide range of ideas, finding patterns in large, noisy real-world data sets.
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Mathematical Modelling

Our technology and resources are combined to build a single, powerful platform for researching algorithmic trading strategies. We use rigorous scientific methodology, robust statistical analysis, and pattern recognition to analyse an extensive and varied financial data ecosystem, extracting deep insights from truly massive datasets. Our platform provides the ability to test your mathematical models in action and get instant results using real world data.

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Inspirational Mathematicians

We pride ourselves on our supportive, intellectual culture. Most of our Researchers have joined from PhDs or Postdocs from top-tier global institutions and we have among our ranks multiple IMO medallists and Fulbright Scholars.

Meet Tom

Quantitative Research Manager

Tom Joined G-Research in 2009 after working for an investment bank. He studied Mathematics at the University of Cambridge and Berkeley University before doing several postdocs at various universities in Europe and the US.

How did I become a Quant?

Personally, I come from a pure mathematics background. After completing my PhD in the United States, I spent several years doing various postdocs, including two and a half years in London.

At this point I decided to leave academia as I wanted to live in London, since my wife was already working here, and to be frank, I wanted to be able to afford to buy a house! Read more

Coronavirus Update

G-Research continues 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

What our people say