Machine Learning Research Lead
Core
Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes by driving a centralized ML environment.
Role type
Senior IC machine learning research lead (trading)
Builds
Centralized ML environment for trading, custom predictive models, and experimentation pipelines
Domain
Financial markets / Quantitative trading
Deliverable
production ML models
Required skills
PhD or Master's in quantitative field, 4+ years applied ML experience, low-latency model deployment, Python, PyTorch/TensorFlow/Jax, feature engineering, model architecture design, people management
Preferred skills
Prior trading environment experience, collaborative team environment preference
Technologies
Python, PyTorch, TensorFlow, Jax
Responsibilities
Lead design and deployment of ML models for trading performance; Research, test, and prototype algorithmic ideas for market prediction and portfolio optimization; Collaborate with traders and developers to translate insights into data-driven features; Oversee data acquisition, preprocessing, and feature engineering; Mentor junior researchers; Drive strategic decisions on model architecture and infrastructure
Seniority
Senior, hands-on IC with mentorship