Head of Data Science - Fraud Insights
Core
Lead a world-class research team to analyze global identity data, predict fraud evolution, and translate complex findings into strategic intelligence for regulators, customers, and product teams.
Role type
Head of Data Science (Fraud Insights & Research)
Builds
Strategic fraud intelligence, white papers, regulatory briefings, and product/model feedback loops
Domain
Financial crime, identity verification, fraud analytics, macroeconomic policy
Deliverable
production ML models | dashboards & analysis | research | client delivery
Required skills
causal inference, econometric modeling, fraud domain expertise, team leadership, executive communication, regulatory intelligence, data fluency at scale
Preferred skills
graph-based analytics, identity network modeling, device intelligence, behavioral biometrics, published research
Technologies
Python, SQL, Neo4j, AWS Neptune, ML frameworks
Responsibilities
Own the research agenda using causal inference and natural experiments; Turn the identity graph into intelligence on fraud rings and attack typologies; Bridge external regulatory/macro signals to internal models; Tell stories that change minds via white papers and presentations; Build and lead a team of researchers and data scientists; Influence product, models, and strategy; Represent Socure externally at conferences and regulatory groups; Drive go-to-market differentiation through thought leadership
Seniority
Executive, hands-on IC with team leadership
