Machine Learning Researcher - PhD: 2027
Core
Apply advanced ML and deep learning techniques to develop systematic trading signals and strategies across asset classes, directly influencing trading decisions.
Role type
Senior IC machine learning researcher (quantitative finance)
Builds
Production-ready ML models for alpha generation and algorithmic trading strategies
Domain
Financial services / Quantitative trading
Deliverable
production ML models
Required skills
Deep learning, time series analysis, Python, C++, PyTorch, TensorFlow, mathematical modeling, statistical analysis, algorithm design, feature engineering, hyperparameter tuning
Preferred skills
Publication record in top-tier ML conferences (NeurIPS, ICML, ICLR), experience with high-performance computing
Technologies
Python, C++, PyTorch, TensorFlow
Responsibilities
Research and develop deep learning models for trading signals, conduct rigorous experiments to improve predictive performance, translate research insights into production-ready models, collaborate with traders and engineers to deploy and iterate on models
Seniority
Senior, hands-on IC