Safeguards Policy Analyst, Fraud & Scams

Anthropic•San Francisco, CA

14d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity
Familiarity with the generative AI risk landscape and how large language models can be exploited for fraud and social engineering
Background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud
Demonstrated ability to develop and communicate policy positions to diverse stakeholders including legal counsel and executive leadership

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