Data Analyst, Fraud Data & Analytics

The Vanguard Group; Scottsdale (AZ); Hybrid; USD 120,000 - 170,000; Full time

Job summary

The Vanguard Group is seeking a Fraud Analytics Specialist within Global Risk and Security. You will execute analytics assignments from requirements through implementation, testing, and monitoring, developing offline detections and leading actionable leads for investigations.

You will monitor performance, analyze transaction and account data, build dashboards, and collaborate with risk teams to improve detection effectiveness. Hybrid work model in the United States.

Qualifications

• Minimum five years related work experience.
• Undergraduate degree or equivalent combination of training and experience.
• Intermediate SQL skills and data querying across large datasets.
• Experience with Python or similar analytical language.
• Experience building dashboards/reports in Tableau or similar.

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 metrics such as precision, false positives, alert volumes, loss exposure, and prevented or avoided impact.
• Analyzes account, client, transactional, and case data to identify fraud trends, anomalies, attributes, and signatures.
• Provides analytical and forensic support for fraud incidents, control gaps, emerging typologies, and investigations.
• Develops and maintains dashboards, recurring reports, loss reporting, benchmarking analyses, and fraud performance products.
• Performs data quality checks and validates data completeness, accuracy, and reasonableness used in reporting and detections.
• Documents methodologies, data lineage, testing results, and procedures.
• Translates analytical findings into clear insights for fraud operations, risk partners, technology teams, and stakeholders.
• Collaborates with senior analysts and business partners to validate approaches and resolve data issues.
• Partners with investigative teams to obtain disposition feedback and improve detection effectiveness.
• Contributes to cross-functional fraud initiatives and data modernization efforts.
• Participates in special projects and other duties as assigned.

Skills

SQL skills

Python

Tableau

Data analysis

Communication

Education

Undergraduate degree

Tools

Tableau

SQL

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.

Special Factors Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

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. 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.

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.

Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.