Safeguards Analyst, Account Abuse

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the Role</strong></h2> <p>Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.</p> <p><strong>Important Context:</strong> In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators</li> <li>Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse</li> <li>Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection</li> <li>Expand internal account signals with new data sources and behavioral indicators to improve detection coverage</li> <li>Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness</li> <li>Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume</li> <li>Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve</li> <li>Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners</li> <li>Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes</li> <li>Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows</li> <li>Maintain detailed documentation of signal development, enforcement processes, and operational decisions</li> </ul> <h2><strong>Qualifications:</strong></h2> <ul> <li>2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement</li> <li>Hands-on experience building detection systems, risk models, or enforcement processes and workflows</li> <li>Experience evaluating and integrating third-party data sources into detection or scoring pipelines</li> <li>Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships</li> <li>Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications</li> <li>Demonstrated ability to analyze complex data problems and translate findings into actionable improvements</li> <li>Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations</li> <li>Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field</li> </ul> <h2><strong>You might be a good fit if you:</strong></h2> <ul> <li>Have built risk ... (truncated, view full listing at source)