Machine Learning Researcher
G-Research is seeking a Machine Learning Researcher to investigate foundational questions and uncover market insights, contributing to investment management strategies. This role involves developing and testing novel ML algorithms with real-world data, leveraging massive compute power and state-of-the-art techniques.
Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques – published in recent conferences or developed entirely in-house – as textbook methods won’t beat the competition.
ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people.
Our ML practitioners have huge amounts of (clean) data and near infinite compute at their fingertips, with which they’re incentivised to explore the cutting-edge and find the 1% of difference. And unlike pure problems, our researchers get near instantaneous feedback in the form of absolute numbers where success is highly measurable and has a direct impact on the business.
As a team, we read the latest publications in the field and discuss them within the our vibrant, collaborative research community, and attend the leading conferences worldwide, such as NeurIPS and ICML.
In this research role you will be able to develop and test your ideas with real-world data in an academic environment.
The ideal candidate will have:
Posted May 31, 2026