Safeguards Enforcement Analyst, Fraud & Scams
at Anthropic
📍 United States
📍 Washington, United States
📍 New York City, United States
📍 San Francisco, United States
📍 Washington, United States
📍 New York City, United States
📍 San Francisco, United States
USD 245,000-285,000 per year
Used Tools & Technologies
GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
SQL @ 3
Communication @ 3
FinTech @ 6
Fraud @ 3
QA @ 3
Generative AI @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building reliable, interpretable, and steerable AI systems. The Safeguards Enforcement Analyst on the account abuse team will design and run enforcement workflows focused on detecting and mitigating fraud and scam-related harms across Anthropic products. The initial scope is standing up fraud & scams enforcement as a coherent program (payment fraud, promotional/credits abuse, scam-pattern enforcement) and building the detection-to-enforcement pipeline and operating model for scaled execution.
Responsibilities
- Define the fraud & scams policy taxonomy and how cases are classified, prioritized, and escalated
- Investigate and dismantle organized abuse rings and convert 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 them to inform 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
- Working command of payment-network and dispute mechanics sufficient to make strategy calls
- Ability to own an area independently: prioritize, ship iteratively, and seek help appropriately
- Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy
- Strong written communication skills; experience producing clear briefs and recommendations for technical and non-technical stakeholders
- Excellent judgment and collaboration skills while navigating rapidly evolving priorities
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
- Annual salary range: $245,000 - $285,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Location-based hybrid policy: currently expect staff to be in an office at least 25% of the time; role is Remote-Friendly within the United States with offices in San Francisco, New York City, and Washington
- Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist (subject to role/candidate specifics)
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space available for collaboration
About the team and company
- Work with a growing group of researchers, engineers, policy experts, and business leaders focused on AI safety and building beneficial systems. Anthropic emphasizes collaboration, high-impact research, and strong communication.
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