Graduate ML Researcher - Production-Ready Trading Models

IMC; Greater London; On-site; GBP 42,000 - 60,000; Full time

Job summary

IMC is seeking a Graduate Machine Learning Researcher in London to design and deploy ML models for trading across global equities, futures, and options. You will work with traders, researchers, and engineers to translate research into production systems, using PyTorch and Python with a strong statistical foundation.

The role targets final-year students graduating in 2027, with MSc or PhD in quantitative fields. No finance experience required, and the start window includes February or August 2027.

Qualifications

• Final year student graduating in 2027 with an MSc or PhD in a quantitative field.
• Strong foundations in statistics and machine learning with a research track record.
• Proficiency in PyTorch and Python.
• Publications in respected journals covering deep learning or time-series modeling valued.
• No prior finance knowledge required.

Responsibilities

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

Skills

Final year student

MSc/PhD in ML

PyTorch

Python

Statistics

Time-series modeling

Publications in journals

Education

MSc in ML or related

PhD preferred

Tools

PyTorch

Python

Job description

IMC is seeking a Graduate Machine Learning Researcher in London to design and deploy ML models for trading across global equities, futures, and options. You will work with traders, researchers, and engineers to translate research into production systems, using PyTorch and Python with a strong statistical foundation.

The role targets final-year students graduating in 2027, with MSc or PhD in quantitative fields. No finance experience required, and the start window includes February or August 2027.