Senior Quantitative Researcher | Mid-frequency | Crypto Options

About the role

Develop and own mid-frequency price-prediction, signal, execution, and anomaly-detection models for crypto derivatives and spot markets, taking research from hypothesis and dataset construction through training, backtesting, and live deployment. Shape research and trading infrastructure, monitor and improve production models, set research priorities with traders, and mentor colleagues while promoting rigorous standards. Candidates need at least three years of quantitative research experience at a hedge fund, trading firm, or similar, including mid-frequency models taken live, and a strong academic foundation in a quantitative discipline. They should be fluent in Python and modern machine-learning tools, understand overfitting, validation, and feature engineering, write production-quality code, and communicate and prioritize research effectively.