Machine Learning Quantitative Researcher – Crypto Derivatives

About the role

Research, validate, and deploy machine learning models for crypto derivatives market making and systematic trading, including alpha generation, price prediction, spread optimization, and execution-cost modeling. Build robust testing and monitoring systems, analyze market behavior and risk, and collaborate with traders, researchers, and engineers to integrate models into production trading systems. Requires a master's degree or PhD in a quantitative field and at least three years of hands-on experience building production machine learning models for systematic trading, market making, or high-frequency finance. Candidates should have strong Python, statistical, time-series ML, backtesting, and market microstructure expertise, with familiarity in real-time data pipelines and crypto derivatives; low-latency systems experience is a plus.