IED, MSET Quantitative Research (Futures) - Strats - Executive Director

Morgan Stanley • New York, NY

3d • $225,000 - $300,000

About The Position

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Requirements

• Advanced degree (PhD, MS, or equivalent) in a quantitative field such as Finance, Mathematics, Physics, Computer Science, or Engineering
• 6+ years of experience in quantitative research, electronic trading, or execution analytics, with a strong focus on listed derivatives/futures
• Deep understanding of futures market structure, including spreads, liquidity dynamics, and matching mechanisms
• Proven experience in transaction cost analysis (TCA) and execution strategy optimization
• Strong programming skills (Python required; experience with C++/Java a plus) and ability to work with large datasets
• Experience partnering with technology teams to deliver production trading systems
• Strong communication skills, with the ability to translate quantitative insights into actionable client recommendations

Responsibilities

• Client Consulting & TCA Leadership: Partner with MSET Sales to support strategic client engagements, delivering bespoke TCA analyses and leading quarterly execution reviews.
• Provide actionable recommendations to clients on execution strategies to minimize market impact and improve performance.
• Design and execute custom data analyses and experiments tailored to client trading behavior and objectives
• Data Quality & Platform Oversight: Own and maintain trade cost data quality across futures products globally, Lead plant-wide data reviews across asset classes to ensure consistency, accuracy, and usability of TCA metrics, Collaborate with internal governance frameworks (e.g., MSET) to validate and approve metrics for external client marketing
• Quant Research & Model Development: Develop and enhance cost models for futures execution, including volume curve construction and execution scheduling for benchmark strategies, Drive enhancements to execution engines using deep understanding of futures market structure and empirical data, Contribute to broader firm initiatives around electronic trading innovation and analytics, Continuously assess and improve algorithmic performance through rigorous data analysis and feedback loops

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees