Quantitative Options Trader

About the role

Operate and refine automated options strategies across multiple venues, adapting pricing, risk appetite, and model sensitivity to changing market conditions. Develop performance metrics and diagnostics, collaborate with engineering and research teams, and oversee live exposures and risk controls. A bachelor's or master's degree in mathematics, physics, computer science, engineering, or economics is requested, along with strong quantitative intuition and experience operating or designing systematic or data-driven strategies. The role calls for Python and scientific-library fluency, familiarity with Kdb+/Q, SQL, Git, and Linux, and the ability to analyze real-time data, make decisions under pressure, and communicate across technical and market teams.