IED, MSET Quantitative Research (Futures) - Strats VP-ED

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. Key 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 Candidate Qualifications 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

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

• Develop and enhance cost models for futures execution, including volume curve construction and execution scheduling for benchmark strategies

• 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

• 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

• 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

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WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

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If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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