Machine Learning Researcher
Core
Design and deploy machine learning models to enhance trading performance across various asset classes; research, test, and prototype new algorithmic ideas for market prediction, signal generation, and portfolio optimization.
Role type
Senior IC machine learning researcher (quantitative finance)
Builds
Predictive models, signal generation systems, and portfolio optimization tools for trading
Domain
Quantitative finance / Algorithmic trading
Deliverable
production ML models
Required skills
Feature engineering, alpha research, model deployment, Python programming, PyTorch, TensorFlow, Jax, theoretical ML foundations, academic publication record
Preferred skills
Experience in trading environments, building custom models
Responsibilities
Design and deploy ML models to enhance trading performance; Research, test, and prototype new algorithmic ideas; Collaborate with traders and developers to translate market insights into data-driven features; Manage data acquisition, preprocessing, and feature engineering
Seniority
Senior, hands-on IC