Senior Data Scientist — Investment Management Fintech Strategies (IMFS)
AI summary of the role
Senior Data Scientist role on Vanguard's Investment Management Fintech Strategies team, focused on applying advanced analytics and AI/ML to improve portfolio construction, trading, and market structure.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- 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.
What you’ll bring
- 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.
Technologies
Python · ML libraries · back-testing · simulation · statistical modeling · AI/ML · data pipelines · production-grade code
About Vanguard
Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 da [... source excerpt omitted ...] mes. 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 a [... source excerpt omitted ...] t 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 collaborat
Employer postings · Data from · Sources