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
Ability to commence full-time employment in February or August 2027
About Us
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. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
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