Employment Information
ABOUT THE JOB
Vanguard strives to deliver an intuitive, modern, outcomes-oriented experience that serves clients with excellence, fosters healthy investing behaviors, and builds loyalty. The goal of a Vanguard client experience is to uniquely connect clients to Vanguard’s core purpose and drive unmatched long-term financial outcomes.
The Client Experience and Digital (CXD) Data Science team plays a critical role in consulting, influencing, and driving changes to deliver such client experience. Our Data Scientists are at the forefront of innovation by leveraging a wide range of AI/ML techniques to design and implement solutions that deepen the understanding of Vanguard clients, inform strategic planning, and optimize business decisioning as well as operational processes.
Experimentation is at the core of our data driven learning agenda. In this role, we are looking for someone to be part of our effort to build best-in-class experimentation capability and practice. The ideal candidate comes with knowledge and experience with various types of experiments such as A/B/n, multi-variate, MAB, and quasi-experiments, or with a strong background in statistics and desire to become an experimentation expert.
Core Responsibilities
- Develop deep understanding of CXD data sources. Leverage big data platforms and programming skills to access and prepare data for analytical consumption.
- Research, develop, and implement advanced experimentation solutions, including choosing the appropriate modeling methods to maximize the value of experiment results, to support data-driven business decision making.
- Provide statistical consultation service to product teams. Serve as the experimentation expert on cross functional teams for large strategic initiatives and contribute to the growth of the Vanguard analytic community.
- Prepare and deliver insight presentations and action recommendations. Communicate complex findings and implications to business stakeholders.
- Stay abreast with development in the AI/ML community with an experimentation focus through training and self-development.
- Understand and comply with Vanguard’s model governance policies and procedures.
- Participate in special projects and perform other duties as assigned.
Qualifications
MS or Ph.D. in Applied Mathematics, Statistics, or a STEM field. Or undergraduate degree in such fields with proven track record of learning and self-development. Proficiency with Python and SQL. Experience with cloud-based AI/ML platforms – preferably AWS SageMaker.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
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 get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.
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 Vanguard’s 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.
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