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
Tech Stack
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.
AI @ 3
Communication @ 6
FinTech @ 6
Fraud @ 6
GenAI
Generative AI @ 3
Payments @ 3
SQL @ 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
As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows that keep Anthropic's products safe, focusing on detecting and mitigating potential harm. The initial focus is establishing fraud and scams enforcement as a program covering payment fraud, promotional abuse, and scam-pattern enforcement.
You will define the policy area, build the detection-to-enforcement pipeline, and establish an operating model that contractors can execute. The role may expand into broader enforcement areas over time and will help shape policy enforcement so users can safely interact with and build on Anthropic's products.
Responsibilities
- Define the fraud and scams policy taxonomy, including case classification, prioritization, and escalation.
- Investigate and dismantle organized abuse rings, converting findings into durable controls.
- Establish 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 quality assurance of scaled output.
- Keep up to date with emerging AI policy enforcement best practices and apply them to decision-making and workflows.
Requirements
- Deep payment-fraud experience at a fintech, marketplace, or platform, including chargebacks, disputes, card-testing, and promotional abuse.
- Experience building or significantly scaling a fraud program from an early state rather than only operating a mature program.
- Working knowledge of payment-network and dispute mechanics sufficient to make strategic decisions.
- Ability to independently own an area, prioritize effectively, ship iteratively, and ask for help precisely.
- Comfort using data and SQL or similar tools to quantify fraud losses and control efficacy.
- Strong written communication skills and experience producing clear briefs and recommendations for technical and non-technical stakeholders.
- Excellent judgment and ability to collaborate 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, including social engineering, impersonation, and platform-mediated scams.
- Experience managing vendor relationships in the fraud or risk-detection space.
- Interest in AI safety and responsible technology development.
- Experience writing effective prompts for generative AI systems in a content-review or enforcement context.
Education and Compensation
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and experience.
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
- The annual salary range is $245,000–$285,000 USD.
Work Policy and Immigration
- Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more office time.
- Anthropic sponsors visas and makes reasonable efforts to obtain visas for successful candidates, with support from an immigration lawyer.
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