Lead Data Scientist — Investment Management Fintech Strategies (IMFS)
Core
Lead advanced data science research and AI/ML application to improve investment performance, portfolio construction, and trading decisions for Vanguard's investors.
Role type
Senior IC Lead Data Scientist (Investment Management)
Builds
Scalable research tooling, back-testing frameworks, signal libraries, and production-grade models for capital markets.
Domain
Investment Management / Fintech / Quantitative Finance
Deliverable
production ML models | research
Required skills
End-to-end data science (problem framing to deployment), statistical modeling, back-testing and simulation, Python, ML libraries, production code quality, mentoring
Preferred skills
Experience with market microstructure, fund flows, liquidity dynamics, AI/ML in financial markets, thought leadership
Technologies
Python, ML libraries, back-testing frameworks, signal libraries
Responsibilities
Own end-to-end research using large-scale historical data to improve portfolio construction and trading decisions; Identify and solve market-impact problems across microstructure, fund flows, and liquidity dynamics; Design and lead the evolution of core research tooling including back-testing frameworks and signal libraries; Apply AI/ML thoughtfully in financial markets; Mentor quant strategists and data scientists on production-grade code and best practices; Partner with technology to integrate models into production systems and monitor live performance; Represent Vanguard externally in industry discussions on AI/ML and systematic research
Seniority
Senior, hands-on IC with leadership responsibilities