Vanguard
Lead / Senior AI/ML Data Scientist
United States · Work style not stated · Full time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerVanguard
- LocationUnited States
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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.
Show full description
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.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Data scientist jobs in United States
ROLIVA currently lists 386 open roles like this in United States.
Employers hiring for this
- Capital One Financial49 open roles
- Guidehouse26 open roles
- RELX23 open roles
- Socure12 open roles
- Visa12 open roles
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
Advertised salary for this role here
These are advertised ranges, not what people are paid.
- USD a year, after annualising126,000–423,000 (40 listings, 15 employers)
At a glance
- Employment typeFull time
- SeniorityLead / Principal
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.