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Senior Fraud Strategy Manager – Debit and Payments
VanguardSenior Manager leading fraud strategy for debit and payments at Vanguard. Overseeing fraud controls and managing a high-performing team of fraud strategy professionals.
Tech Stack
Tools & technologiesPythonRuby 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