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Safeguards Enforcement Analyst, Fraud & Scams

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Crypto & DeFi
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Define the fraud & scams policy taxonomy and how cases are classified, prioritized, and escalated
  • Investigate and dismantle organized abuse rings, converting findings into durable controls
  • Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases
  • Build the dispute and chargeback strategy in partnership with payments and card-network partners
  • Quantify fraud losses and control efficacy to drive investment decisions
  • Author the contractor playbook for fraud review and own QA of scaled output
  • Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
Requirements
  • Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse
  • Experience building or significantly scaling a fraud program from an early state, not just operating a mature one
  • A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them
  • Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely
  • Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy
  • Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders
  • Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and work streams.
Core Competencies

Demonstrates expertise in payment fraud management, including chargebacks and disputes, while effectively building and scaling fraud programs. Utilizes data analysis to inform strategy and decision-making, ensuring robust communication with both technical and non-technical stakeholders.

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