Execution Solutions - Electronic Trading - VP leve
This is a great opportunity if you want to have more clien-facing exposure while still maintaining hands-on quantitative and automation projects. You will initially be involved in expanding the analytics and TCA capabilities while supporting the team with existing clients. Over time, you will be expected to take the necessary regulatory exams and help expand the team's client coverage. The role: Execution Solutions takes a quantitative approach to providing solutions to clients. Their solutions and recommendations are driven by data and backed by rigorous analysis. The team works in close collaboration with clients to develop, test and validate solutions. This is a continuous process to optimize existing solutions to changing markets, market microstructure, flow profiles, client objectives and benchmarks. You must be a subject matter expert on execution algos and regional market microstructure, and ultimately be responsible for delivering top solutions; You must also be commercially adept, can deeply engage clients on solutions and express product concepts orally and visually to varying levels of user sophistication; You must have the ability to decompose client problems into key questions and user stories, then convert this context and scope into requirements for scalable solutions; You must have the ability tell a clear and concise story with data that delivers the message. Automation and Data analysis You will be responsible for the development of automation tools to monitor and identify performance anomalies: Using rigorous quantitative techniques to quantify impact of changes to market microstructure / flow profile / execution algos; Work in close collaboration with Execution Research, Algo Development, and Product Management to develop appropriate metrics that assist with product marketing . ; TCA and custom reports Part of your role will involve the continuous enhancement of self-service and custom TCA reports. This includes developing relevant metrics and benchmarks to measure specific scenarios and events. Requirements: Between 2 and 6 years of experience with equity Algos / PT. Proven experience working with large datasets preferably in Python. Strong quantitative background in statistics and data analysis. Understanding of equities cash markets and trading systems. Effective interpersonal and communication skills in both written and verbal mediums. Sense of ownership of their platform and ability to work with in a global team. Experience of dealing with prioritisation across multiple teams. Preferred Qualifications: Experience working with Q/KDB. Experience building distributed systems in Java/ Python. Experience with data visualization techniques and tools. Good understanding of EMEA market structure / microstructure.