Key Responsibilities
- Design and execute experiments to evaluate the impact of business and operational decisions
- Apply structured analytical approaches, including quasi-experimental methods where appropriate, to generate evidence in real-world settings
- Partner with stakeholders to identify high-impact opportunities for testing and learning, prioritizing where evidence will reduce decision uncertainty
- Input assumptions, parameters, and experimental findings into the decision product to inform model outputs
- Interpret decision outputs generated by the analytical engine and translate them into clear, actionable guidance for business users
- Communicate results, including implications, trade-offs, and uncertainty, in a way that builds trust and supports decision-making
- Partner with Data Scientists to ensure experimental insights and learnings are incorporated into the evolution of the analytical engine
- Ensure decision outputs are aligned to real-world workflows and are usable within business planning and operational contexts
- Balance statistical rigor with operational feasibility when designing and executing experiments
Qualifications
- Undergraduate degree (or equivalent experience) in a quantitative field; advanced degree preferred
- Experience designing, executing, and analyzing experiments or structured analytical studies in business environments
- Familiarity with causal inference concepts, including quasi-experimental approaches, or demonstrated ability to develop these skills
- Strong understanding of experimental design, statistical inference, and measurement frameworks
- Proficiency in Python, R, or similar tools for data analysis
- Ability to interpret analytical outputs and translate them into actionable business insights
- Strong communication and stakeholder management skills, with the ability to influence decision-making
- Comfort working in ambiguous, real-world environments where trade-offs between rigor and practicality must be managed
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.
Skills Required
- Undergraduate degree or equivalent combination of training and experience
- Graduate degree in statistics, economics, or related quantitative field
- Minimum of four years of experimentation or applied statistics work in operational or business settings
- Strong experiment design skills including power analysis, randomization strategies, variance reduction (CUPED, stratification), interference handling
- Proficiency in Python or R for statistical analysis
- Familiarity with both frequentist and Bayesian approaches to inference
- Hands-on experience with logging and instrumentation (exposure tables, treatment assignment pipelines, outcome tracking)
- Experience with operational experiments (staffing, routing, queue management) rather than purely digital product tests
- Familiarity with causal inference methods and integrating experimental and observational evidence
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
-
Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
-
Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
-
Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
