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AnthropicAnthropicSan Francisco, CA

Safeguards Enforcement Analyst, Fraud & Scams

Safeguards Enforcement Analyst owning the end-to-end fraud and scams program at Anthropic: define policy taxonomy, build detection-to-enforcement pipelines, investigate organized abuse rings, create durable controls and contractor playbooks, and quantify losses to drive strategy. Requires deep payment-fraud and program-building experience.

245k – 285k
Hybrid5+ YOEOther

About the role

Key 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

Minimum Qualifications

  • 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 workstreams

Preferred Qualifications

  • Experience working directly with payment service providers and card networks on fraud strategy
  • Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams
  • Experience managing vendor relationships in the fraud/risk detection space
  • A deep interest in AI safety and responsible technology development
  • Experience writing effective prompts for generative AI systems in a content review or enforcement context

Compensation & Benefits

  • Annual salary: $245,000–$285,000 USD
  • Minimum education: Bachelor’s degree or equivalent
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours

Skills

Payment FraudChargebacksDisputesCard TestingPromotional AbuseSQLFraud DetectionPolicy EnforcementAi Safety

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