Head of Data Science - Fraud Insights

📋 Description

• Own the research agenda for fraud analytics and identity data.
• Turn the identity graph into intelligence for fraud detection.
• Bridge external signals with internal models and roadmaps.
• Tell stories that influence executives, regulators and customers.
• Build and lead a world-class research team.
• Drive product and GTM differentiation through research.

🎯 Requirements

• Advanced degree (MS/PhD preferred) in Economics, Statistics, Econometrics, or related field.
• 10+ years in data science, fraud analytics, risk research, or quantitative economics.
• Deep fraud/domain expertise (synthetic identity, account takeover, AML-adjacent).
• Data fluency at scale: Python, SQL, graph analytics, ML frameworks.
• Graph analytics experience (Neo4j, AWS Neptune) preferred.
• External credibility: publications, conferences, regulatory engagement.
• Executive communication: concise, rigorous research for diverse audiences.
• Regulatory & macro-intelligence fluency: CFPB, FinCEN, and related policy.