Graduate Machine Learning Researcher
Core
Design, implement, and evaluate machine learning models for global trading strategies across equities, futures, and options markets.
Role type
Graduate Machine Learning Researcher
Builds
Production trading systems for global markets
Domain
Financial markets (equities, futures, options)
Deliverable
production ML models
Required skills
Machine learning, statistics, deep learning, probabilistic programming, Python, PyTorch
Preferred skills
Publications in respected journals, time-series modeling
Technologies
PyTorch, Python
Responsibilities
Design and evaluate ML models for trading applications, apply statistical techniques to measure performance and control overfitting, investigate novel ML approaches through experimentation, collaborate with traders and engineers to translate research into production systems
Seniority
Graduate (final year of study, graduating 2027)