European Equity Electronic Trading Product Manager

Responsibilities

• Building out a sophisticated European Equity algorithmic product working closely with the global algorithmic trading product, research and development team
• Act in the capacity of product specialist to help sales team pitch the product to European clients
• Understanding the competitive landscape, analyzing strengths and weaknesses of the Best Ex Research products, analyzing client pain points and translating to a roadmap for the product and building concrete requirements
• Understanding clients trading workflow with Best Ex product end to end and help improve the processes
• Provide execution services and support to clients as we grow the product and expand the team
• Running Transaction Cost Analysis (TCA) of the product, developing a good understanding of Best Ex Research algorithms and TCA framework, and coming up with ways to improve the product performance.
• Develop good understanding of clients order flow and risk aversion; tailor and optimize the algorithms for clients unique requirements and order flow
• Managing relationships with trading venues, upstream vendors, downstream broker-dealer and other liquidity partners
• Keeping abreast of market structure changes and the liquidity landscape, evaluating the impact of those changes on our product suite and recommending solutions to benefit from those changes

• Expert level understanding of the equity market structure in Europe
• Expert level understanding and experience with algorithmic trading, ideally in capacity of designing execution algorithms.
• Expertise in transaction cost analysis, and a good understanding of drivers of trading costs
• Experience with data analysis languages such as R or Python. Good understanding of data science.
• Excellent communication skills and ability to present complex technical ideas to clients
• Good relationship with the sell-side and buy-side firms is a plus
• Prior experience in coding production level software is a plus but not required
• Good understanding of back office functions is a plus but not required
• Bachelor’s or Master’s degree in Engineering or a quantitative field