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Quantitative Trading Analyst

The Vanguard Group, Inc.
Malvern, PA Full Time
POSTED ON 11/29/2025
AVAILABLE BEFORE 1/29/2026
Vanguard’s Trading Analytics and Strategy (TAS) team works with our global trading desks to optimize their trading strategies, saving millions of dollars for clients every year. The team works with our trader and portfolio manager partners, across asset classes and passive as well as active mandates, to conduct data-driven analyses and build tools to help shape our trading strategy. Vanguard’s trading desk trade over $15 trillion annually and is one of the largest market participants in the world. Vanguard manages over $9 trillion of both active and passive Equity and Fixed Income products. What We’re Looking For: We’re looking for a self-directed candidate with excellent quantitative, communication skills, a passion for markets, and the ability to thrive in a dynamic environment. The role provides the successful candidate with opportunities to develop and quickly assume more responsibility within a rapidly changing and growing department. Responsibilities: Researches, evaluates, tests, and implements cutting-edge trading technology, analytics, data sources, and other tools. Works independently on transaction cost analysis, under the guidance of senior analysts, to maintain and enhance processes for trading desks based on rigorous research and quantitative analysis. Resolves issues involving data, infrastructure, and prototype technology tools leveraged by the transaction cost analysis processes. Enhances existing models, develops data sources and processes, and communicates results. Provides reporting and analytics to assist in shaping the future of the transaction cost analysis and trading agenda. Develops and maintains knowledge of market structure, microstructure, and transaction cost analysis in order to bring an informed perspective to the research process. Represents Vanguard effectively to internal and external audiences. Participates in special projects and performs other duties as assigned. Qualifications: Undergraduate degree or above in quantitative discipline required. Graduate degree and/or professional certification (CFA, FRM) preferred. Minimum of two years related work experience. Supervisory experience preferred Strong foundation of cross asset class investment knowledge. Ability to handle multiple, complex projects with attention to detail while meeting deadlines. Demonstrated quantitative and analytical skills. Experience with Python, R, SQL, or related programming languages highly desirable. Demonstrated ability to function in a fast-paced, dynamic working environment with multiple and diverse responsibilities. Excellent verbal, written, and interpersonal communication skills. Strong analytical, problem solving, and organizational skills. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

Salary : $15

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