Graduate Machine Learning Researcher - London

Full job description

As a Graduate Machine Learning Researcher at IMC, your work will directly impact global trading strategies, applying advanced machine learning, statistical, and computational techniques to trading problems across global equities, futures, and options markets, working closely with Traders and Developers. Your Core Responsibilities: design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production; apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk; investigate novel machine learning approaches through rigorous experimentation; collaborate closely with traders, researchers, and engineers to translate research into production trading systems. Your Skills and Experience: currently in your final year of study, graduating in 2027; a minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field; strong foundations in statistics and machine learning, with a demonstrated research track record; proficiency in fundamental ML frameworks like PyTorch and experience in Python; no prior finance knowledge or experience required; ability to commence full-time employment in February or August 2027. IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.