Quantitative Research Intern

About the role

Collect, clean, and analyze financial market data; research intraday trading signals; implement quantitative models; and backtest systematic strategies. Evaluate performance using risk-adjusted metrics, transaction costs, and market conditions, while collaborating with traders and researchers to test hypotheses, document methods, and present findings. Candidates should have a strong foundation in statistics and mathematics, analytical and quantitative research skills, and proficiency in Python and its common data-science libraries. They should be pursuing or have recently completed a degree in a quantitative discipline, understand financial markets and strategy evaluation, and be able to work on-site in Chicago; experience with market microstructure, high-frequency data, SQL, Git, machine learning, or financial data APIs is a plus.