Machine Learning Researcher
Core
Design and deploy machine learning models to enhance trading performance across various asset classes by applying state-of-the-art ML & deep learning to solve challenging trading problems.
Role type
Senior IC machine learning researcher (quantitative trading)
Builds
Production ML models, custom research models, and research tooling for market prediction, signal generation, and portfolio optimization
Domain
Financial markets / Quantitative trading
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Jax, feature engineering, alpha research, model deployment, statistical analysis, publication track record at top ML conferences
Preferred skills
Experience in trading environment, deep understanding of theoretical foundations of SOTA ML models
Technologies
PyTorch, TensorFlow, Jax
Responsibilities
Design and deploy machine learning models to enhance trading performance; Research, test and prototype new algorithmic ideas; Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models; Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
Seniority
Senior, hands-on IC