Safeguards Enforcement Analyst, Ban Evasion & Recidivism

About the Role As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows that keep our products safe, focusing on detecting and mitigating potential harm. Your initial focus will be on recidivism: ensuring that banned actors cannot evade a ban in five minutes. You will detect when banned actors return, link accounts across identities, and close re‑registration paths that matter most, including preventing evasion of child‑safety enforcement bans. Key Responsibilities Investigate evasion clusters end to end—from a single appeal or signal anomaly to the full linked actor network. Convert individual findings into durable systemic controls and detection proposals. Operationalize re‑registration controls for high‑severity ban populations. Partner with Engineering and Data Science teams on account‑linking signals to connect returning actors across identities. Build the recidivism measurement framework: how often banned actors return, how fast we catch them, and which controls reduce return rates. Author playbooks for contractor‑supported evasion review with QA against your own gold standard. Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision‑making and workflows. Minimum Qualifications Experience investigating ban evasion, multi‑accounting, or repeat fraud actors at a platform with adversarial users. Fluency in SQL and comfort building analyses across large account and event datasets. Experience working with fraud or identity‑linking signals and a working understanding of their precision/recall tradeoffs. Rigor about evidence standards—comfort with the asymmetric cost of false positives in severe‑harm enforcement. A track record of turning one‑off investigations into repeatable detection logic and policy. Strong written communication skills, with experience producing clear briefs and recommendations for technical and non‑technical stakeholders. Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams. Preferred Qualifications Experience using payment or network risk signals in an enforcement context. Experience with child‑safety or other high‑severity integrity enforcement. Experience collaborating directly with detection engineering or data science teams on rule deployment. A deep interest in AI safety and responsible technology development. Experience writing effective prompts for generative AI systems in a content review or enforcement context. Benefits Annual Salary: $245,000—$285,000 USD Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location‑based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time. Visa sponsorship: We sponsor visas for many roles, but not all roles may be sponsored. #J-18808-Ljbffr Anthropic