Vanguard is not offering visa sponsorship for this position.
Active Equity Assistant Portfolio Manager / Researcher
Vanguard's Quantitative Equities Group (QEG) is Vanguard's only Internal Active Equity Manager and is responsible for researching, building, and managing portfolios to provide our Investors with the Best Chance of Investment Success via superior Risk-Adjusted Returns. QEG employs a rigorous, fundamentally based research process to uncover Factors that explain Investment Returns and a robust, risk-controlled portfolio construction and management process that allows us to take targeted risks while avoiding those that are not rewarded. As a member of the Domestic Alpha & Alts Team, you will have the opportunity to fully participate in the Team's
Quantitative/Systematic
Analytics/Attribution.
Core Responsibilities
- Conduct and/or lead quantitative investment research projects including the development of time-series and cross-sectional investment models.
- Conduct daily portfolio management duties on QEG's active portfolios, including monitoring, rebalancing, and diagnostics.
- Use and contribute to improvements of QEG's state or the art data and research platforms to assess investment strategies and conduct portfolio simulations.
- Ensure data and inputs used in research and production systems are accurate and of high quality.
- Participate in portfolio construction research, bridging the gap between theoretical alpha models and implementable portfolios.
- Meaningfully contribute to the evolution of QEG's investment process through self-education, independent learning, and idea generation.
- Stay on top of the markets and economy to understand what is driving market and portfolio performance.
- Collaborate with team members and with other Vanguard groups on projects and assignments.
- Clearly communicate ideas, findings, and recommendations (in writing and through presentations to various audiences).
Qualifications
- Five+ years in the financial services industry. Investment management experience within a systematic approach strongly preferred.
- Graduate degree in a quantitative discipline such as Finance, Economics, Mathematics, Statistics, and Computer Science, or equivalent combination of training and deep experience required.
- Proficiency in coding. Python and querying languages (such as SQL) strongly preferred.
- Familiarity with financial databases and providers (Bloomberg, CSTAT, etc.)
- CFA preferred.
Vanguard is not offering visa sponsorship for this position.
Special Factors
Sponsorship
About Vanguard
We are Vanguard. Together, we're changing the way the world invests.
For us, investing doesn't just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you
can
We want to make success accessible to everyone. This is our opportunity. Let's make it count.
Inclusion Statement
Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement Do the right thing.
We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguards core purpose.
Our core purpose To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
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.