Graduate ML Researcher — Trading Analytics

targetjobs UK; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

IMC is a global trading firm with a cutting-edge research environment. A Graduate Machine Learning Researcher will apply advanced ML, statistics, and computational techniques to trading problems across global equities, futures, and options markets, directly impacting trading strategies.

You will work closely with Traders, Researchers, and Engineers to translate research into production systems, with opportunities to publish and grow within a high-performance, collaborative culture.

Qualifications

• Final year student graduating in 2027
• MSc (PhD preferred) in ML, Statistics, Deep Learning, Probabilistic Programming, or related field
• Strong foundations in statistics and ML with a research track record in ML, DL, or related field
• Proficiency in ML frameworks like PyTorch and experience in Python
• Solid understanding of statistics
• Desirable: publications in journals covering DL or time-series modeling
• No prior finance knowledge or experience required
• Ability to commence full-time employment in February or August 2027

Responsibilities

• Design, implement, and evaluate ML 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 ML approaches through rigorous experimentation in real trading environments
• Communicate research progress and outcomes effectively across teams
• Collaborate with traders, researchers, and engineers to translate research into production trading systems

Skills

Python

PyTorch

Statistics

Time-series analysis

Publications

Education

MSc in Machine Learning or related field

PhD preferred

Tools

PyTorch

Job description

IMC is a global trading firm with a cutting-edge research environment. A Graduate Machine Learning Researcher will apply advanced ML, statistics, and computational techniques to trading problems across global equities, futures, and options markets, directly impacting trading strategies.

You will work closely with Traders, Researchers, and Engineers to translate research into production systems, with opportunities to publish and grow within a high-performance, collaborative culture.