Safeguards Policy Analyst, Fraud & Scams

About the Role

As part of the I&A team, the policy analyst will function both as a policy owner and work in tandem with cross-functional teams to ensure that policies are effective, up-to-date, and aligned with Anthropic's mission to create beneficial AI systems. The role involves working in a dynamic environment where no two days are alike, requiring adaptability, strong analytical skills, and the ability to stay current with the ever-evolving fraud and scam landscape.

What You Will Do

• Draft, maintain, and iterate on Fraud & Scams policies governing Anthropic's products and APIs, ensuring clarity for both model enforcement and human reviewers.
• Conduct regular structured policy reviews to identify gaps, ambiguities, and coverage failures, leading 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).
• 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.
• 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.

What We Are Looking For

• 3+ years of experience in policy development, enforcement, or a related field, preferably in the tech industry.
• Strong understanding of fraud and scam typologies, including social engineering, phishing, and AI-enabled fraud.
• Experience with policy development, enforcement strategies, and content moderation.
• Excellent analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights.
• Strong communication skills, with the ability to collaborate with cross-functional teams and external partners.
• Ability to work in a fast-paced environment, adapting to changing priorities and deadlines.
• Familiarity with regulatory requirements and industry standards related to fraud and scam prevention.

Nice to Have

• Experience working with AI systems, machine learning models, or natural language processing technologies.
• Knowledge of programming languages such as Python or SQL.
• Certification in fraud prevention, cybersecurity, or a related field.
• Experience working in a remote or distributed team environment.

Benefits and Perks

• Competitive salary and equity package.
• Opportunity to work with a leading AI company dedicated to creating beneficial and safe AI systems.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Flexible remote work options, with the possibility of working from anywhere in the world.
• Access to cutting-edge technologies and tools to support your work.
• Continuous learning and professional development opportunities.
• Comprehensive health insurance and benefits package.
• Generous PTO and holiday policy.

• Develop a strong understanding of fraud and scam typologies, including the latest trends and technologies used by threat actors.
• Build a portfolio of your policy development and enforcement work, highlighting your ability to translate complex data into actionable insights.
• Prepare to discuss your experience with regulatory requirements and industry standards related to fraud and scam prevention.
• Emphasize your analytical and problem-solving skills, and be ready to provide examples of how you've applied these skills in previous roles.
• Show enthusiasm for working in a fast-paced environment and adapting to changing priorities and deadlines.
• Highlight any experience working with AI systems, machine learning models, or natural language processing technologies, as these are highly valued in this role.