# Safeguards Enforcement Analyst, Fraud & Scams

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY, Washington, DC
**Role:** Other
**Salary:** $245k – $285k/yr
**Experience:** 5+ years
**Skills:** Payment Fraud, Chargebacks, Disputes, Card Testing, Promotional Abuse, SQL, Fraud Detection, Policy Enforcement, Ai Safety
**Posted:** 2026-07-14

> 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.

## Job Description

## 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

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