The role involves managing and delivering a platform for algorithmic execution, liquidity solutions, and trading analytics. The individual will lead product initiatives across the execution spectrum, including algorithmic trading products and smart order routers. Responsibilities include analyzing client order flow and execution quality metrics to provide actionable insights for performance optimization. The position requires close collaboration with cross-functional teams, including technology, legal, and sales, to ensure product functionality. Additionally, the role involves direct engagement with institutional and hedge fund clients to offer bespoke solutions and execution consultations.

The role requires subject matter expertise in algorithmic trading, execution consulting, and smart order routers. Candidates must possess extensive experience in electronic trading product management and a deep understanding of equities market microstructure. Proficiency in q/KDB and Python is necessary, alongside strong quantitative and analytical capabilities for data-driven decision-making. A bachelor’s degree in finance, economics, mathematics, engineering, computer science, or a related quantitative field is required. Additionally, the candidate must obtain Series 7, 63, and 57 registrations post-hire if they are not already held.