Data Analytics Python Jobs in Arizona (NOW HIRING)

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

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.