Tech Stack

Description

You will design, build, and execute enforcement workflows to detect and mitigate fraud and scam-related harms on Anthropic's products. You'll act as the subject matter expert on fraud typologies, translating expertise into scalable policies while collaborating with cross-functional teams including ML, Engineering, and Legal.

Requirements

• Trust & Safety professional with focused background in fraud, scams, or financial crime in tech or AI context
• Experience writing and iterating on operational policies for fraud or abuse prevention at scale
• Threat modeling for fraud and scam ecosystems including social engineering, impersonation, and phishing
• Proficiency in SQL or other data analysis tools to identify trends and measure enforcement efficacy
• Experience collaborating cross-functionally with Engineering, ML, Legal, and Policy teams

Responsibilities

• Draft, maintain, and iterate on Fraud & Scams policies governing Anthropic's products and APIs
• Develop detailed threat models for fraud and scam vectors and translate them into enforceable policy language
• Design and architect automated enforcement systems and human review workflows
• Define and manage precision/recall tradeoffs in enforcement with data science teams
• Serve as primary policy point of contact for ML and Engineering teams developing fraud detection classifiers