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 production

• Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability

• Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments

• Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments

• 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 in ML, deep learning, or another quantitative field

• Proficiency in fundamental ML frameworks like Pytorch and experience in Python

• Solid understanding of statistics

• Desirable: publications in respected journals covering deep learning or time-series modeling

• No prior finance knowledge or experience required