Key Responsibilities- Own Fraud Strategy & Rule Coverage:
Define and maintain fraud rule strategies across debit and real-time payment channels, including control coverage, decision logic, risk appetite alignment, and strategy documentation.
- Manage Real-Time Decisioning Rules:
Build, test, deploy, and maintain fraud rules, thresholds, queues, and decision logic within real-time decisioning platforms.
- Enhance Rules Engine Capabilities:
Translate fraud strategy requirements into rules engine enhancements, decisioning capabilities, data inputs, and operational workflows in partnership with engineering.
- Optimize Performance Outcomes:
Continuously monitor rule performance and optimize detection effectiveness, fraud loss prevention, false positives, manual review volume, and client friction through disciplined tuning.
- Analyze Performance & Identify Rule Opportunities:
Use transaction data, model outputs, case outcomes, and fraud trends to identify strategy gaps, refine segmentation, and recommend rule changes.
- Partner on Strategy Execution:
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.
- Communicate Strategy Performance:
Summarize fraud trends, rule performance, optimization results, and customer experience trade-offs in clear, data-driven narratives.
- Ensure Strong Governance:
Maintain disciplined rule governance, change controls, testing evidence, performance monitoring, and adherence to risk and regulatory standards.
QualificationsRequired Experience- 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. Graduate degree preferred.
Technical & Analytical Skills- 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.
Strategy Communication & Collaboration- 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
Special FactorsSponsorshipVanguard is offering visa sponsorship for this position.
