ML Quant Researcher
Core
Research and develop machine learning-driven alpha signals and systematic trading strategies using advanced ML and statistical techniques on large financial datasets.
Role type
Senior IC machine learning quantitative researcher (alpha generation)
Builds
Production-ready systematic trading strategies
Domain
Financial markets / Systematic investing
Deliverable
production ML models
Required skills
Machine learning, Statistics, Python, PyTorch, JAX, TensorFlow, Deep learning, Time-series modelling, Probabilistic modelling, Reinforcement learning, Backtesting, Overfitting prevention
Preferred skills
Hedge fund experience, Alternative data analysis, Portfolio modelling, Generative modelling, Optimisation
Technologies
PyTorch, JAX, TensorFlow, Python
Responsibilities
Research predictive signals and develop robust models across large financial datasets, Conduct rigorous backtesting and out-of-sample validation to assess model robustness, Identify nonlinear relationships and patterns for differentiated investment signals, Analyse model behaviour across changing market regimes, Work with portfolio managers and engineers to turn research into production strategies, Continuously evaluate new ML developments for applicability to systematic investing
Seniority
Senior, hands-on IC