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Vanguard

Senior Fraud Strategy Manager – Debit and Payments

Vanguard

Senior Manager leading fraud strategy for debit and payments at Vanguard. Overseeing fraud controls and managing a high-performing team of fraud strategy professionals.

Posted 5/28/2026full-timeMalvern • North Carolina, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
PythonRuby on RailsSQLTableau

About the role

Key responsibilities & impact
  • Lead the strategy, execution, and continuous optimization of fraud controls across debit cards, ACH-like products, and real-time payment rails
  • Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms
  • Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering
  • Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management
  • Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness
  • Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches
  • Communicate fraud risk, performance, and trade-offs clearly through strong executive storytelling
  • Build and manage a high-performing team of fraud strategy and analytics professionals
  • Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards.

Requirements

What you’ll need
  • 10+ years in fraud risk, payments risk, or financial crimes
  • Deep expertise in: Debit card fraud (CNP and CP), Real-time payments (Zelle, RTP, P2P, Bill Pay and other emerging payments)
  • 5+ years of people management experience leading high-performing teams
  • Proven experience managing real-time fraud decisioning environments and rules strategies
  • Strong experience partnering across Product, Engineering, Risk, and Operations
  • Bachelor’s degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or a related field.
  • Graduate degree preferred.
  • Expertise in fraud rules engines / decisioning platforms
  • Strong analytical capabilities (data analysis, segmentation, performance optimization)
  • Working knowledge of fraud models / machine learning concepts and model governance
  • Ability to translate data into actionable fraud strategies and business decisions
  • Strong experience with analytical tools such as Python, R, SAS, SQL, and platforms such as Tableau or Power BI.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
fraud riskpayments riskfinancial crimesdebit card fraudreal-time paymentsfraud rules enginesdecisioning platformsdata analysisperformance optimizationmachine learning
Soft Skills
team managementcollaborationcommunicationanalytical capabilitiesexecutive storytellingstrategic thinkingproblem-solvingperformance managementcontrol testingrisk management