Data Analyst, Fraud Data & Analytics

The Vanguard Group; Charlotte (NC); Hybrid; USD 90,000 - 140,000; Full time

Job summary

The Vanguard Group is seeking an experienced fraud analytics professional to advance detections, analytics, and reporting across enterprise security. You will design and maintain detections, dashboards, and loss metrics while guiding investigative teams with actionable insights.

Ideal candidates have five+ years of experience in fraud analytics, strong SQL and Python skills, and proficiency with Tableau. A hybrid work model is offered, supporting collaboration and continued learning.

Qualifications

• Minimum of five years related work experience.
• Undergraduate degree or equivalent combination of training and experience.
• Intermediate SQL skills, including querying, joining, validating, and analyzing large datasets.
• Working proficiency in Python or another analytical programming language used for data preparation, automation, statistical analysis, or detection development.
• Experience developing and maintaining dashboards and reports in Tableau or a comparable visualization platform.
• Experience supporting development, testing, monitoring, or optimization of fraud detections, risk rules, anomaly-detection methods, or analytical models.

Responsibilities

• Executes fraud analytics assignments from requirements gathering and data assessment through analysis, implementation support, measurement, and monitoring.
• Develops, tests, and maintains offline fraud detections that generate actionable leads for investigative teams, with guidance on more complex efforts.
• Monitors detection performance using measures such as precision, false-positive rates, alert volumes, loss exposure, and prevented or avoided impact.
• Analyzes account, client, transactional, and case data to identify emerging fraud trends, anomalous behavior, common attributes, and fraud signatures.
• Provides analytical and forensic support for fraud incidents, control gaps, emerging typologies, and other priority investigations.
• Develops and maintains dashboards, recurring reports, loss reporting, benchmarking analyses, and fraud performance products.
• Performs data quality checks and validates the completeness, accuracy, and reasonableness of data used in reporting and detections.
• Documents analytical methodologies, assumptions, data lineage, testing results, and operating procedures in accordance with established standards.
• Translates analytical findings into clear, actionable insights for fraud operations, risk partners, technology teams, and other stakeholders.
• Collaborates with senior analysts and business partners to validate analytical approaches, resolve data issues, and deliver quality work products.
• Partners with investigative teams to obtain disposition feedback and identify opportunities to improve detection effectiveness.
• Contributes to cross-functional fraud initiatives, data modernization efforts, and evaluation of fraud tools or capabilities.
• Participates in special projects and performs other duties as assigned.

Skills

SQL

Python

Tableau

Fraud detection

Data quality

Effective communication

Education

Bachelor's degree

Tools

Cloud platforms

Job description

Responsibilities:

• Executes fraud analytics assignments from requirements gathering and data assessment through analysis, implementation support, measurement, and monitoring.

• Develops, tests, and maintains offline fraud detections that generate actionable leads for investigative teams, with guidance on more complex efforts.

• Monitors detection performance using measures such as precision, false-positive rates, alert volumes, loss exposure, and prevented or avoided impact.

• Analyzes account, client, transactional, and case data to identify emerging fraud trends, anomalous behavior, common attributes, and fraud signatures.

• Provides analytical and forensic support for fraud incidents, control gaps, emerging typologies, and other priority investigations.

• Develops and maintains dashboards, recurring reports, loss reporting, benchmarking analyses, and fraud performance products.

• Performs data quality checks and validates the completeness, accuracy, and reasonableness of data used in reporting and detections.

• Documents analytical methodologies, assumptions, data lineage, testing results, and operating procedures in accordance with established standards.

• Translates analytical findings into clear, actionable insights for fraud operations, risk partners, technology teams, and other stakeholders.

• Collaborates with senior analysts and business partners to validate analytical approaches, resolve data issues, and deliver quality work products.

• Partners with investigative teams to obtain disposition feedback and identify opportunities to improve detection effectiveness.

• Contributes to cross-functional fraud initiatives, data modernization efforts, and evaluation of fraud tools or capabilities.

• Participates in special projects and performs other duties as assigned.

Qualifications

• Minimum of five years related work experience.

• Undergraduate degree or equivalent combination of training and experience.

• Intermediate SQL skills, including experience querying, joining, validating, and analyzing large datasets.

• Working proficiency in Python or another analytical programming language used for data preparation, automation, statistical analysis, or detection development.

• Experience developing and maintaining dashboards and reports in Tableau or a comparable visualization platform.

• Experience supporting the development, testing, monitoring, or optimization of fraud detections, risk rules, anomaly-detection methods, or analytical models.

• Working knowledge of analytical validation methods, data quality controls, and performance measurement.

• Ability to communicate technical findings clearly and provide actionable insights to technical and non-technical audiences.

• Ability to manage assigned work, maintain documentation, and deliver quality results within established timelines.

• Knowledge of financial-services fraud typologies, investigations, fraud operations, or fraud loss measurement preferred.

• Experience working in cloud-based data environments and with governed enterprise data assets preferred.

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g. assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.

Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource – by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.

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.