MS Quantitative Research, VP/ Associate

Morgan Stanley Quantitative Research are responsible for Morgan Stanley's agency execution performance. A key component of ensuring competitiveness of the firm's agency execution platforms is the ability to work with our electronic clients to understand their specific trading needs and provide tools that are fit for purpose. This document describes the responsibilities of the client analytics component of the MS Quantitative Research team.

The trading environment continues to change rapidly and our clients' investment objectives change to suit the prevailing market. The client analytics component of Quantitative Research acts as execution consultants for the firm's clients delivering customized execution strategies and products for listed instruments across multiple asset classes and regions. In conjunction with MSET sales, the group designs and configures trading products that extend the Firm's electronic trading suite. The group is responsible for tracking and analyzing the behavior and performance of these products.

Specific areas of focus include:

• Understand the client investment decision (and associated work flow) and create execution products to service the business. This includes recommending execution mechanisms that meet the client objectives.

• Prioritize multiple tasks to maximize MSET revenue.

• Utilize deep understanding of financial markets to spot opportunities to reduce client execution costs and create additional revenue for the business.

• Partner with clients and MSET coverage to provide transparency of the real-time performance of each algorithm.

• Understand trading behavior changes required in response to market structure changes and special market events.

Required skills:

• Strong understanding of equity markets and how they function
• Strong understanding of transaction cost analysis
• Familiarity with electronic trading
• Excellent communication skills
• Strong Analytical Abilities

Desired skills:

• KDB (Q) and Python
• Strong understanding of statistical methods

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.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .

Client-provided location(s): Hong Kong

Job ID: Morgan-JR038042

Employment Type: OTHER

Posted: 2026-06-03T18:39:28