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Manager, Fraud Prevention & Detection

H&R Block
Remote, USA
Full-time
Senior Level
Remote
USD 91000-145600 yearly
Discovered 1 months ago

Full Job Posting

  • Lead fraud prevention and detection strategy across key customer and payment journeys, including rule management, risk scoring, decisioning logic, control design, and prioritization of the highest-impact fraud mitigation opportunities
  • Proactively identify emerging fraud threats, attack patterns, transaction behavior, account activity, payment flows, and other risk signals, translating fraud intelligence into actionable control enhancements
  • Shape and manage the fraud capability roadmap across rules, scoring, AI/ML models, identity verification, behavioral signals, vendor tooling, automation, and real-time decisioning capabilities
  • Own end-to-end fraud performance, including fraud losses, fraud capture rates, false positives, manual review volume, customer friction, and overall control effectiveness, driving measurable improvements against defined targets
  • Partner with and influence Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations teams to strengthen fraud controls, automate manual processes, and embed fraud prevention into customer experiences
  • Lead and coach the fraud prevention and detection team, setting priorities, performance and quality standards, and accountability for execution and cross-functional follow-through
  • Develop data-driven business cases for fraud investments by quantifying risk exposure, customer impact, operational costs, and expected mitigation value to support prioritization and funding decisions
  • Lead root cause analysis of fraud events, emerging trends, control failures, and significant escalations, driving sustainable corrective actions that reduce future risk exposure
  • Establish and maintain SOPs, governance routines, reporting cadences, and operational controls that support consistent execution, regulatory expectations, and partner requirements
  • Bachelor’s degree in Business, Finance, Risk Management, Data Analytics, Information Systems, or a related field, or the equivalent through a combination of education and related work experience
  • 7+ years leading fraud prevention, fraud detection, fraud strategy, payments risk, digital identity, banking, fintech, e-commerce, tax, or financial services fraud programs
  • Proven ownership of fraud performance metrics including fraud loss reduction, fraud capture, false positive management, manual review optimization, operational efficiency, and customer experience outcomes
  • Hands-on experience designing, implementing, tuning, and evaluating fraud rules, risk scoring strategies, fraud controls, and automated decisioning environments
  • Strong analytical capabilities using dashboards, model outputs, transaction trends, case analysis, experimentation, and data insights to drive fraud strategy decisions
  • Strong communication and storytelling skills with the ability to translate complex fraud risks and data insights into actionable recommendations and business cases
  • Practical experience working with AI/ML fraud models, including model performance monitoring, tuning, feature evaluation, or data-driven decisioning in production environments
  • Experience leading high-performing teams, coaching employees, prioritizing work, and driving accountability in a fast-paced fraud or risk environment
  • Experience operating within regulated financial services, payments, banking, card, tax, lending, or related fraud risk environments
  • Experience with identity verification, synthetic identity detection, account takeover prevention, behavioral analytics, device intelligence, authentication, and transaction monitoring
  • Experience with fraud decisioning platforms, orchestration tools, rules engines, risk scoring systems, and real-time fraud prevention technologies
  • Experience driving automation, reducing manual review, improving workflow efficiency, and scaling fraud operations through technology
  • Experience leading cross-functional fraud initiatives from problem identification through implementation, measurement, optimization, and ongoing governance

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