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Fraud Decision Scientist

Job in Northern, Floyd County, Kentucky, USA
Listing for: Talently
Full Time position
Listed on 2026-09-26
Job specializations:
  • IT/Tech
    Cybersecurity, FinTech
  • Finance & Banking
    FinTech
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

As Staff Fraud Decision Scientist, the company expects you to perform the following tasks:

  • Own Zapp’s fraud decision strategy across the customer lifecycle, ensuring fraud
    controls work together as a coherent and scalable decision framework.
  • Continuously monitor fraud, approval, chargeback, conversion, and customer friction
    metrics to identify emerging fraud patterns and optimization opportunities.
  • Design, implement, and optimize fraud controls across internal systems and third-party fraud platforms.
  • Define decision logic, control sequencing, thresholds, and escalation strategies to
    maximize fraud prevention while minimizing customer friction.
  • Analyze transaction, payment, behavioral, device, and identity data to proactively identify new fraud vectors and systemic vulnerabilities.
  • Lead root cause analyses following fraud events, approval declines, chargeback trends, or operational incidents, implementing both immediate containment and long-term preventive solutions.
Requirements

You're the person they're looking for if you have:

  • 4+ years of experience in fraud strategy, fraud analytics, risk strategy, decision science, payments, or fraud decision engineering within fintech, payments, banking, or cross-border remittances.
  • Proven experience designing, implementing, and optimizing fraud decision
    strategies—not simply monitoring fraud performance.
  • Experience configuring and managing fraud platforms and decision engines.
  • Advanced SQL skills and experience working with large transactional datasets.
  • Strong analytical skills with the ability to translate complex data into practical fraud
    strategies and measurable business improvements.
  • Experience designing and evaluating controlled experiments (A/B testing, champion/challenger testing, phased rollouts).
  • Strong understanding of card payments, authorization flows, AVS, CVV, 3DS, device
    fingerprinting, identity verification, chargebacks, and payment fraud.
  • Experience building fraud KPIs, dashboards, monitoring frameworks, and performance reporting.
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