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.
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.
Machine Learning College
Machine learning has long been a key part of our Research function. We are proud to hire some of the best ML practitioners and are now proud to be developing the next generation of ML talent through the G-Research Machine Learning College.
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
Joining From Abroad
G-Research is proud to recruit some of the best talent from across the world. If you are joining us from abroad, we work with a specialist relocation partner to ensure that starting your new life in the United Kingdom is as easy and frictionless as possible. Find out more.