Quantitative Researcher – AI / Machine Learning

About the role

Research and develop machine learning models using financial and alternative datasets to identify predictive patterns and generate systematic investment signals. Design and validate experiments, assess model robustness across market conditions, and collaborate with researchers and engineers to bring scalable models into production. An advanced degree in a quantitative discipline is required, with a PhD preferred, alongside a strong research track record in machine learning or a related field. Candidates should have expertise in at least one relevant modelling area, strong Python and PyTorch, JAX, or similar framework skills, solid mathematical and statistical foundations, and experience with large, noisy, or unstructured datasets.