IMC Trading

Conduct advanced machine learning and quantitative research to develop, test, and deploy models that improve global trading strategies across equities, futures, and options.As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.Your Core Responsibilities:Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into productionApply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretabilityInvestigate novel machine learning approaches through rigorous experimentation and analysis in real trading environmentsCommunicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departmentsCollaborate closely with traders, researchers, and engineers to translate research into production trading systemsYour Skills and Experience:PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative fieldStrong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problemsDemonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimizationProficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAXDemonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferredAbility to commence full-time employment in February or August 2027

Posted 4 days ago