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Vanguard Data Jobs (NOW HIRING)

Vanguard

Senior AI Scientist

Dallas, TX

We are the AI Center of Excellence within the Chief Data and Analytics Office. We build ... deployed at Vanguard behave safely, reliably, and in accordance with regulatory and business ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Senior Specialist is responsible in driving data-driven decision ... Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others ...

Vangard, Inc.

Data Analyst, Specialist

Charlotte, NC

Role Summary The Data Analyst, Senior Specialist is responsible in driving data-driven decision ... Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others ...

Vanguard Group, Inc.

Senior AI Scientist

Malvern, PA · On-site

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the ...

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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.

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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:

What job categories do people searching Vanguard Data jobs look for?

The top searched job categories for Vanguard Data jobs are:

Vanguard Data jobs near you
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.

Senior AI Scientist

Vanguard

Dallas, TX

Full-time

Re-posted 4 days ago

Job description

We are the AI Center of Excellence within the Chief Data and Analytics Office. We build infrastructure and tools that enable AI practitioners to develop AI products quickly and with confidence. A core part of our work focuses on AI safety and evaluation: identifying vulnerabilities in generative AI applications and ensuring that AI systems deployed at Vanguard behave safely, reliably, and in accordance with regulatory and business standards. We are looking for technically sharp, curious people who think rigorously about how AI systems fail and can communicate those findings clearly to the teams who need to act on them.
About the Role

This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.

Responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions

  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems

  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale

  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption

  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations

  • Mentor and develop junior data scientists and analysts on the team

  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda

  • Participate in special projects and perform other duties as assigned

Qualifications

  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles

  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques

  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work

  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn

  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses

  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus

  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

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.

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