Fraud Strategy Senior Analyst

The Vanguard Group•Charlotte, NC

12h•Hybrid

About The Position

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.

Requirements

5-8+ years in fraud risk, payments risk, or financial crimes
Deep expertise in: Card fraud strategy (CNP and CP) for card issuers or merchants, as well as knowledge of Real-time payments (Zelle, RTP, P2P, Bill Pay and other emerging payments)
Proven experience owning and optimizing real-time fraud decisioning rules, thresholds, and strategies
Experience translating fraud strategy requirements into rules engine changes in partnership with Product, Engineering, Risk, and Operations
Bachelor’s degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or a related field.
Expertise in fraud rules engines / decisioning platforms
Strong analytical capabilities in segmentation, rule performance measurement, A/B or champion/challenger testing, and optimization
Working knowledge of fraud models / machine learning concepts and model governance
Ability to translate data into actionable fraud rule changes, strategy recommendations, and measurable performance improvements
Strong experience with analytical tools such as Python, R, SAS, SQL, and platforms such as Tableau or Power BI.
Ability to explain rule strategy, optimization rationale, performance results, and risk trade-offs to business and technical partners
Excellent written and verbal communication skills for documenting strategy changes, testing outcomes, and performance insights
Collaborative approach to aligning rule changes with operational readiness, product requirements, and risk governance expectations

Nice To Haves

Graduate degree preferred.

Responsibilities

Define and maintain fraud rule strategies across debit and real-time payment channels, including control coverage, decision logic, risk appetite alignment, and strategy documentation.
Build, test, deploy, and maintain fraud rules, thresholds, queues, and decision logic within real-time decisioning platforms.
Translate fraud strategy requirements into rules engine enhancements, decisioning capabilities, data inputs, and operational workflows in partnership with engineering.
Continuously monitor rule performance and optimize detection effectiveness, fraud loss prevention, false positives, manual review volume, and client friction through disciplined tuning.
Use transaction data, model outputs, case outcomes, and fraud trends to identify strategy gaps, refine segmentation, and recommend rule changes.
Work with Product, Engineering, Risk, and Operations to implement fraud rules, validate control impacts, and ensure strategies operate effectively within customer journeys and new product launches.
Summarize fraud trends, rule performance, optimization results, and customer experience trade-offs in clear, data-driven narratives.
Maintain disciplined rule governance, change controls, testing evidence, performance monitoring, and adherence to risk and regulatory standards.