Graduate Machine Learning Researcher
On-siteLondon, England, United Kingdom
Job Summary
Design, implement, and evaluate machine learning models for trading applications, applying rigorous statistical techniques to measure performance, control overfitting, and understand model risk. Investigate novel machine learning approaches through experimentation in real trading environments across global equities, futures, and options markets. Collaborate with traders, researchers, and engineers to translate research into production systems and communicate progress effectively. Candidates must be graduating in 2027 with an MSc (PhD preferred) in machine learning, statistics, or related quantitative fields, demonstrating a research track record and proficiency in PyTorch and Python. Full-time employment commences in February or August 2027.
Required Qualifications
- 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
- Ability to commence full-time employment in February or August 2027
Desired Qualifications
- publications in respected journals covering deep learning or time-series modeling
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