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Open nowPosted 18 days ago

Lead / Senior AI/ML Data Scientist

Vanguard81 open roles

Where
Malvern, PA
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Your applicationOpen nowLead / Senior AI/ML Data ScientistVanguard · Malvern, PA
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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Vanguard postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 18 days ago

Vanguard median: 1 days open

The posting

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.

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