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IMC Trading

Graduate Machine Learning Researcher

Location: London, UK

Contract:

Salary: Not specified

Work type: Not specified

Posted: Today

Deadline: Open

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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 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:

  • PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field

  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems

  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization

  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX

  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred

  • Ability to commence full-time employment in February or August 2027

You 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 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.

How to apply

Apply directly through the company website. Clicking the link below will open the application page in a new window.

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IMC Trading

Location: Amsterdam, Netherlands

Industry: Financial Services

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, and Asia Pacific, 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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