Socure
Head of Data Science - Fraud Insights
Hybrid - US · Exec
No sponsorshipDetected 55 days ago
PythonSQLAWSMachine LearningData ScienceStatisticsResearchLeadershipCommunicationPublic Speaking
About the role
- The patterns inside this graph tell the story of how fraud evolves: who the adversaries are, how they adapt, and where they're going next.
- We are not looking for someone to report what happened.
- We are looking for someone who can explain why it happened, predict what comes next, and make that story impossible to ignore - for regulators, customers, boards, and the market.
Responsibilities
- Recruit, mentor, and develop a team of researchers, data scientists, and analysts who share your appetite for rigor and storytelling. Create a culture where intellectual curiosity, methodological discipline, and external credibility are the standard.
- Build tight feedback loops with Socure's modeling, product, and engineering organizations so that what you learn in the data becomes new signals, smarter models, better products, and stronger go-to-market positioning.
- Speak at industry conferences, engage regulatory working groups, author market-facing research, and participate in customer and partner forums. Your external credibility is a strategic asset - you invest in it and it compounds for Socure.
- Transform complex multivariate findings into white papers that get cited, presentations that land at Money20/20, regulatory briefings that shape policy, and customer insights that create competitive advantage.
- Recruit, mentor, and develop a team of researchers, data scientists, and analysts who share your appetite for rigor and storytelling.
- Create a culture where intellectual curiosity, methodological discipline, and external credibility are the standard.
- Speak at industry conferences, engage regulatory working groups, author market-facing research, and participate in customer and partner forums.
- Collaborate with Marketing and Growth to develop research-backed thought leadership that strengthens Socure's brand recognition, supports pipeline generation, and reinforces market leadership.
- Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts.
Requirements
- 10+ years of applied experience in data science, fraud analytics, risk research, or quantitative economics, with demonstrable impact at scale
- Proven expertise in fraud, identity risk, financial crime, or adjacent domains
- Track record of external thought leadership - publications, conference presentations, regulatory engagement, or equivalent market-facing credibility
- ability to author compelling, rigorous, market-facing research
- Deep Fraud Domain Expertise.
- You can write a 2-page brief for a CEO that captures all the important nuance, and go 10 levels deep with a PhD data scientist without losing them.
- You know the difference between simplifying and falsifying, and you never do the latter.
- Research Depth & Econometric Rigor. You approach fraud data the way a serious economist approaches a policy question - with proper identification strategies, an appreciation for confounding, a healthy skepticism of naive correlations, and the discipline to distinguish causation from coincidence. Comfortable with panel data methods, diff-in-diff, regression discontinuity, survival analysis, network econometrics, and the full toolkit of applied causal inference.
- 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.
- 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. Conversant in Python, SQL, graph analytics, and ML frameworks.
- 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.
- Executive Communication Without Dumbing It Down. You can write a 2-page brief for a CEO that captures all the important nuance, and go 10 levels deep with a PhD data scientist without losing them. You know the difference between simplifying and falsifying, and you never do the latter.
- 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.
Nice to have
- 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 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, or fraud consortia
- Exposure to explainable AI, model governance, or adverse action frameworks relevant to consumer-facing decisioning
- Reports to: Chief AI & Innovation Officer
- Please note that we cannot provide sponsorship now or in the future.
Company info
- who the adversaries are, how they adapt, and where they're going next.
- This person will sit directly at the intersection of rigorous research, macroeconomic and regulatory intelligence, and the richest identity dataset in the industry.
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
Visa & Work Authorization
- Please note that we cannot provide sponsorship now or in the future.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.