At a glanceSummarised by Seekless from the posting.
Must have6
5+ years leading or driving advanced data science work, including back-testing, simulation, and statistical modeling in complex problem spaces
Master's or PhD in machine learning, data science, financial engineering, computer science, or related quantitative discipline
Strong end-to-end data science capability: problem framing, research design, modeling, validation, deployment partnership
Proficiency in Python and common ML libraries; experience collaborating with data engineering and bringing models into production
Demonstrated ability to apply AI/ML to solve complex technical problems through collaboration, creativity, and disciplined research
Comfortable partnering with senior leaders—communicating tradeoffs, impact, and value in a clear, decision-oriented way
Eligibility1
Vanguard is not offering visa sponsorship for this position
Skills
Python
ML libraries
Senior Data Scientist — Investment Management Fintech Strategies (IMFS)
Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. We partner with investment teams to explore and apply new technologies that can improve investment performance, strengthen decision-making, and help capital markets work better for Vanguard’s investors. Our work spans advanced analytics and AI/ML, new data sources, market structure and liquidity research, and building scalable platforms and tools that move from experimentation into production.
Responsibilities:
•
Own end-to-end research using large-scale historical data: form hypotheses, run analyses, develop models, and translate results into insights that can improve portfolio construction and trading decisions.
•
Identify and solve market-impact problems across microstructure, fund flows, and liquidity dynamics—surfacing risks and opportunities tied to execution quality and market impact.
•
Design and lead the evolution of core research tooling, including the back-testing framework and signal libraries, to enable repeatable, high-quality experimentation.
•
Apply AI/ML thoughtfully in financial markets, staying current on emerging techniques and evaluating what is practical, robust, and scalable in real-world market environments.
•
Raise the bar on engineering quality by mentoring quant strategists and data scientists on production-grade code, data pipelines, and research-to-production best practices.
•
Partner with technology to integrate models into production systems, monitor live performance, and iterate based on market feedback and measured outcomes.
•
Represent Vanguard externally by contributing to industry discussions and thought leadership in areas relevant to AI/ML, systematic research, trading, and market structure.
Qualifications:
•
5+ years leading or driving advanced data science work, including back-testing, simulation, and statistical modeling in complex problem spaces.
•
Master’s or PhD in machine learning, data science, financial engineering, computer science, or related quantitative discipline.
•
Strong end-to-end data science capability: problem framing → research design → modeling → validation → deployment partnership.
•
Proficiency in Python and common ML libraries; experience collaborating with data engineering and bringing models into production.
•
Demonstrated ability to apply AI/ML to solve complex technical problems through collaboration, creativity, and disciplined research.
•
Comfortable partnering with senior leaders—communicating tradeoffs, impact, and value in a clear, decision-oriented way.
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.