The Electronic Client Solutions (ECS) team is the client-facing organization for all automated trading capabilities in Cash Equities. This team builds, manages and delivers the leading industry platform for algorithmic execution and liquidity solutions, data, analytics and low latency trading capabilities to institutional, hedge fund and systematic trading firms. The ECS product suite is designed to source liquidity effectively across an ever-changing landscape of liquidity centers, minimize transaction costs and maintain anonymity for our clients. It includes:

• Global algorithmic trading products
• Differentiated liquidity solutions
• Global direct market access and smart order routing
• Pre- and post-trade analytics 

In joining the team, you will be a key player on the product team within ECS, leveraging a combination of product management skills with excellent analytical capabilities and technical proficiency. You will work closely with various business partners across the Global Equities Sales and Trading organization to deliver innovation end-to-end solutions for our clients and have the opportunity to build strong cross-functional relationships.

Job Responsibilities

• Define and lead product management initiatives across the algorithmic and liquidity trading product spectrum.
• Partner with business analysts, core technology, legal/compliance, operations, and sales and trading teams to ensure product functionality is optimized.
• Produce in-depth analysis of product usage, client trends, trading performance, and revenues.
• Leverage analytical skills to analyze large data sets and provide actionable results to drive product evolution and client product usage.
• Maintain a working knowledge of equities trading, market structure, and the equities market regulatory landscape.
• Ensure adherence with all relevant regulatory and control agenda requirements.
• Be an integral member of the ECS team, working together to provide a positive client experience .

Required qualifications, capabilities, and skills

• Bachelors’ degree from a leading university with a degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative field.
• 5 years equities electronic trading experience or equivalent.
• Exceptional written and verbal communication skills with specific ability to communicate concepts and ideas concisely and defend their validity.
• Very strong analytical skills.
• Prior experience and strong abilities in KDB and Python.
• Ability to comfortably interact with clients in a professional and mature manner.
• Prior technical experience with data and analytics reporting and platforms..

Preferred qualifications, capabilities, and skills

• Series 7 and 63 registration is a plus.