Head of Data Science (Core Insights)

Join Socure, a leading identity verification and fraud prevention company. As the Head of Data Science (Core Insights), you will be at the forefront of understanding and combating fraud. You will own the research agenda, turn the identity graph into intelligence, bridge the outside world to internal models, tell compelling stories, build and lead a world-class team, influence product and strategy, represent Socure externally, and drive go-to-market differentiation. This is a remote position with comprehensive benefits.

• Own the Research Agenda and design studies and analytical frameworks that produce findings you can stand behind publicly.
• Work across Socure's global identity graph to surface fraud rings, adversarial coalitions, emerging attack typologies, and behavioral shifts.
• Serve as the connective tissue between external signals and Socure's internal research, modeling, and product roadmaps.

• Regulatory & Macro-Intelligence Fluency. You follow the regulatory environment — CFPB rulemaking, FinCEN guidance, state-level identity legislation, open banking frameworks — and understand how policy changes alter fraud incentives and attack surfaces
• Research Depth & Rigor. You approach fraud data with proper identification strategies, an appreciation for confounding, a healthy skepticism of naive correlations, and the discipline to distinguish causation from coincidence. Comfortable with statistical analysis, network analysis, and the full toolkit of applied causal inference
• Executive Communication Without Dumbing It Down. You can write a 2-page brief for a CEO that captures all the important nuances, and go 10 levels deep with a PhD data scientist without losing them
• Data Fluency at Scale. You've worked with large-scale identity, behavioral, or transaction datasets. You understand graph structures, feature engineering at the identity level, and the operational realities of productionizing insights. Expertise in Python, SQL, graph analytics, and ML frameworks
• Deep Fraud Domain Expertise. You've spent meaningful time in the trenches — synthetic identity, first-party fraud, account takeover, bust-out rings, AML-adjacent typologies, mule networks, or related domains. You understand the adversarial game theory at play and respect the sophistication of the actors on the other side
• External Credibility & Presence. You have a track record of representing an organization publicly and credibly — major conference appearances, regulatory working groups, authored research the market takes seriously, or a reputation that precedes you in the fraud and identity space
• 10+ years of applied experience in data science, fraud analytics, risk research, or quantitative economics, with demonstrable impact at scale
• Experience leading and developing high-performing technical teams
• Exceptional written and verbal communication skills; ability to author compelling, rigorous, market-facing research
• Advanced degree (MS or PhD strongly preferred) in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field
• Strong command of causal inference, statistical modeling, and modern ML/AI techniques applied to adversarial or risk problems
• Proven expertise in fraud, identity risk, financial crime, or adjacent domains
• Track record of external thought leadership — publications, conference presentations, regulatory engagement, newsletters, social media influence or equivalent market-facing credibility
• Experience with graph-based analytics, identity network modeling, or fraud ring detection using Neo4j, AWS Neptune, or custom graph frameworks
• Familiarity with the regulatory landscape governing identity verification, fraud prevention, and consumer financial protection (CFPB, FinCEN, OCC, state AGs)
• Experience with document validation, selfie verification, device intelligence, behavioral biometrics, email/phone/IP signals, or browser fingerprinting in a fraud context
• Published research or white papers in peer-reviewed journals, industry publications, or prominent market forums
• Experience working in or alongside financial services, fintech, credit bureaus, payments networks, and fraud consortia
• Exposure to explainable AI, model governance, or adverse action frameworks relevant to consumer-facing decisioning