Safeguards Policy Analyst, Fraud & Scams

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Safeguards Policy Analyst focused on Fraud & Scams, you will be responsible for designing, building, and executing enforcement workflows that detect and mitigate fraud and scam-related harms on Anthropic's products. You will serve as the subject matter expert on fraud typologies, scam ecosystems, and the threat actors who perpetrate them — translating that expertise into durable and scalable policies. This role sits within the Integrity & Authenticity (I&A) team, You will function both as a policy owner, and work closely with threat investigative and enforcement teams. You will also develop the guidelines that power classifiers, and will be our point of content cross-functional workstreams. No two days will look the same. Important context: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a financial, psychological, or otherwise disturbing nature, including detailed fraud schemes and scam content. Responsibilities: Policy Design & Ownership - Draft, maintain, and iterate on Fraud & Scams policies governing Anthropic's products and APIs, with clarity for both model enforcement and human reviewers - Conduct regular structured policy reviews to identify gaps, ambiguities, and coverage failures, and lead the process to close them - Develop detailed threat models for fraud and scam vectors — including social engineering, financial fraud, impersonation scams, phishing, and AI-enabled fraud — and translate these into enforceable policy language - Stay current on the fraud and scam landscape, including emerging typologies, regulatory shifts, and threat actor tactics, techniques, and procedures (TTPs) Enforcement Strategy & Operations - Design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall - Review flagged content to drive enforcement decisions and surface policy improvements grounded in real-world cases - Define and manage precision/recall tradeoffs in enforcement, working with data science teams to continuously tune classifiers and detection signals - Build and maintain an effective feedback loop between threat intelligence, policy, and enforcement operations to ensure timely response to novel and evolving fraud threats Technical & Cross-functional Collaboration - Serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals - Partner with Product, Engineering, and Data Science teams to optimize detection models, automated enforcement pipelines, and tooling for fraud-specific policy violations - Collaborate with external researchers, law enforcement liaisons, and fraud SMEs to gather feedback on policy effectiveness and emerging risk areas Stakeholder Alignment & Education - Educate and align internal stakeholders — including Legal, Public Policy, and Go-to-Market teams — around Anthropic's fraud and scams policies and enforcement approach - Serve as an internal resource on fraud risk, briefing leadership and cross-functional partners as threats evolve - Contribute to Anthropic's external communications and policy documentation related to fraud and platform integrity where relevant You may be a good fit if you have experience: - Working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime — particularly in a tech platform or AI context - Writing, iterating on, and managing operational policies for fraud or abuse prevention at scale - Threat modeling for fraud and scam ecosystems, including social engineering, romance scams, investment fraud, impersonation, and phishing - Identifying and articulating common fraud tactics (e.g., pig butchering, advance fee fraud, account takeover facilitation) and how they manifest on AI platforms - Using SQL or other data analysis tools to identify trends, measure enforcement efficacy, and surface policy gaps - Collaborating cross-functionally with Engineering, ML, Legal, and Policy teams on safety initiatives - Working with generative AI products, including writing effective prompts for content review and enforcement use cases - Thriving in a fast-paced, ambiguous environment where priorities shift and the threat landscape evolves rapidly Preferred Qualifications: - Experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative ca