Graduate ML Researcher: Trading & Production

IMC Trading; Greater London; Sur place; GBP 60 000 - 90 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Machine Learning

Statistics

PyTorch

Python

Research experience

Communication

Formation

MSc in ML/Statistics/Quant field

PhD preferred

Description du poste

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.