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Vanguard Data Jobs (NOW HIRING)

Join Vanguard's IT Data & Analytics organization as a Data Product Manager, where you will own and drive the strategy, delivery, and adoption of enterprise data products that enable decision‑making ...

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Vanguard Data information

What is a Vanguard data job?

Vanguard Data jobs typically refer to positions within Vanguard, a prominent investment management company, that focus on the management, analysis, and utilization of data. These roles can include data analysts, data engineers, data scientists, and related positions that help the company leverage data to improve investment strategies, client services, and operational efficiency. Employees in these roles work with large datasets, apply statistical methods, build data pipelines, and generate insights to support business decisions. Vanguard values data-driven decision making, making these jobs critical to the organization's success.

What are some common challenges faced by data professionals at Vanguard, and how are they addressed within the team?

Data professionals at Vanguard often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and maintaining compliance with strict security regulations. These challenges are typically addressed through collaborative efforts within cross-functional teams, ongoing training, and the use of advanced data management tools. Team members regularly participate in agile ceremonies, knowledge-sharing sessions, and work closely with business stakeholders and IT to align data solutions with organizational goals, fostering both professional development and effective problem-solving.

What are the key skills and qualifications needed to thrive as a data analyst at Vanguard, and why are they important?

To thrive as a Data Analyst at Vanguard, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or finance. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is usually required. Excellent problem-solving, attention to detail, and communication skills help you translate complex data into actionable insights for stakeholders. These skills are essential for making informed business decisions and driving organizational success through data-driven strategies.

What is the difference between Vanguard Data vs Data Analyst?

AspectVanguard DataData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with data toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCorporate, finance, or investment firms; collaborative teamsVarious industries including finance, healthcare, tech; office settings
Employer & Industry UsageFinancial services, investment firms, asset managementBroadly used across industries for data interpretation and reporting

Vanguard Data professionals focus on managing and analyzing data within financial and investment contexts, often requiring knowledge of specific tools and industry standards. Data Analysts have a broader role across multiple industries, emphasizing data interpretation, reporting, and insights. While both roles require similar educational backgrounds and technical skills, Vanguard Data roles are more specialized within the finance sector, whereas Data Analysts work across diverse sectors.

More about Vanguard Data jobs

What cities are hiring for Vanguard Data jobs?

Cities with the most Vanguard Data job openings:

What states have the most Vanguard Data jobs?

States with the most job openings for Vanguard Data jobs include:

Infographic showing various Vanguard Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist, Specialist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 24 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services


Job description

Responsibilities:
  • Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
  • Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross-functional initiatives involving advanced analytics or machine learning.
  • Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
  • Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.

Qualifications:
  • Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
  • Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
  • Strong stakeholder Management and excellent communication skills.

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.

What Vanguard employees say

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