Graduate Machine Learning Researcher - London

IMC Trading; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

IMC Trading is seeking a Graduate Machine Learning Researcher to apply advanced ML, statistics and computational methods to complex trading problems across global equities, futures, and options markets.

Responsibilities include designing and evaluating ML models, applying rigorous statistics, and translating research into production systems. The role requires a MSc (PhD preferred) in a quantitative field and the ability to start full-time in 2027.

Qualifications

• Final year student graduating in 2027 with a MSc (PhD preferred) in a 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 PyTorch and Python.
• Solid understanding of statistics.
• Desirable publications in journals covering deep learning or time-series modelling.

Responsibilities

• Design, implement, and evaluate ML models for trading applications, with research deployed into production.
• Apply statistical techniques to measure performance, control overfitting, and understand model risk.
• Investigate novel ML approaches through rigorous experimentation and analysis in real trading environments.
• Communicate research progress and outcomes effectively within the team and across departments.
• Collaborate with traders, researchers, and engineers to translate research into production trading systems.

Skills

Machine Learning

Statistics

PyTorch

Python

Research experience

Communication

Education

MSc in ML/Statistics/Quant field

PhD preferred

Job description

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.

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

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. 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 August 2027. We encourage you to focus on enhancing your skillset before reapplying.

Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing [e-mail]. If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: [e-mail].

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.