Asset Management - Investment Platform Trading Research - Executive Director
On-site · New York City, New York, United States
Job Summary
Executive Director, Investment Platform Trading Research responsible for designing and implementing research projects, optimizing trading platform, and implementing a trade analytics framework. Will lead cross-functional projects, provide execution consultancy to traders, portfolio managers, and researchers. Focus areas include quantitative trading research using market data to identify signals, optimizing execution strategies, enhancing trading performance metrics, developing dashboards and tools for measuring execution quality and TCA, and leveraging ML techniques (reinforcement learning, NLP, deep learning) to improve market impact and slippage analysis. Requires advanced Python, strong data-analysis skills, market microstructure knowledge across equities/fixed income/FX/derivatives/alternative assets, experience with databases and high-performance queries, and ability to communicate quantitative insights to leadership.
Required Qualifications
- Advanced Python Programming: Strong proficiency in Python with experience in data analysis libraries (pandas, NumPy), visualization tools (matplotlib, seaborn)
- Financial Database Expertise: Experience with databases and high-performance queries for analyzing tick/market data and trading records
- Trading Knowledge: Demonstrated experience in market-making, statistical arbitrage, or systematic trading roles with understanding of execution algorithms and trading signals
- Technical Communication: Ability to translate complex quantitative findings into actionable trading insights for portfolio managers and trading desk leadership
- Market Microstructure Knowledge: Expertise in any of equities, fixed income, FX, derivatives, and alternative assets
- Version Control Systems: Hands-on experience with Git and collaborative development workflows
- Applied ML: Experience implementing reinforcement learning, natural language processing, or deep learning techniques
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