IMC Trading

Research and develop advanced machine learning models to improve automated trading strategies by applying AI, statistics, and computational techniques to financial markets.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 2027You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. About UsIMC 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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Develop and deploy quantitative trading models by applying advanced mathematics, programming, and data analysis to solve complex financial market problems.As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones.  We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Quantitative Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.Your Core Responsibilities:Apply rigorous analytical and quantitative techniques to solve complex problemsBuild custom tools to explore new research ideasDesign mathematical models based upon trading ideasImplement and deploy new models into productionMaintain best practices to keep our systems logical and consistentYour Skills and Experience:Current university student graduating between September 2026 – July 2027 that is pursuing a Bachelor’s or Master’s degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative fieldHas a passion for research and problem solvingApproaches data analysis with rigorous thought processes and strong intuitionIs a creative thinker who is driven and eager to solve challenging problems collaborativelyProficiency in a programming language (Python, C, C++, etc) is highly desiredMust be available for full-time employment starting in February or August 2027You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. About UsIMC 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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