Charm Security- Fraud & Data Researcher

Description About Us Charm's Scam Defense AI fights the epidemic of human-centric fraud that costs hundreds of billions annually and disrupts millions of lives. Our mission is "to break the scam spell" by protecting people from scammers who manipulate human psychology rather than just exploit technical vulnerabilities. When attackers increasingly use AI to scale their social engineering attacks, Charm responds with cutting-edge AI defense systems. Using proprietary behavioral science models that combine fraud expertise with psychology and behavioral analysis, Charm has developed a comprehensive portfolio of AI-powered scam defense solutions for financial institutions. Our Prevention Agent proactively analyzes risk signals and intervenes in real-time, our Copilot empowers fraud analysts with conversation analysis and guided actions, and our Customer-Facing Agent provides self-serve protection with emotional support and professional escalation pathways. About the Role: We’re looking for a researcher to help us understand how fraudsters think, how scams evolve, and how to outsmart them through data, design, and AI. You’ll bring deep expertise in fraud operations - ideally from the inside of a bank or fintech - and turn it into features, signals, and specialized Fraud AI Agents. You Will: Generate actionable insights from product data and agent telemetry to improve outcome and reasoning capabilities. Identify patterns across scams, social engineering, and con-artist playbooks - to help out agents “think like a scammer” - and beat them. Lead investigations into complex cases and propose data-backed countermeasures. Collaborate with engineers and AI researchers to design adaptive and scalable fraud-prevention agents. Maintain and evolve our fraud & scam knowledge base and taxonomy. Help in building dedicated AI Agents to understand & Combat Scams & Fraud. Requirements You Have: 4+ years experience in data analysis 2+ years experience in fraud prevention Experience with Python, SQL, or similar tools. Experience with production AI Agents - Huge plus Strong data analysis and hypothesis-testing skills. Background in psychology / behavioral science - plus An obsession with understanding how people get scammed - and how to stop it.