Head of Data Science - Identity & Compliance
Head of Data Science, Identity & Compliance
📍 New York, San Francisco, Seattle, or Miami (Hybrid)
We're partnering with an industry-leading technology company that is redefining how organizations combat fraud, verify identities, and manage risk through advanced data science and AI.
This is a highly visible executive leadership opportunity for a data science leader who can combine deep analytical expertise with market-facing thought leadership. You'll lead research initiatives, shape product strategy, influence executive decision-making, and help define the future of identity and fraud intelligence.
What You'll Do
* Lead and grow a high-performing team of Data Scientists, Researchers, and Analysts.
* Develop innovative research around fraud, identity risk, compliance, and emerging financial crime trends.
* Leverage large-scale behavioral, transactional, device, and network datasets to identify evolving threats and uncover actionable insights.
* Partner closely with Product, Engineering, AI, and Executive Leadership teams to transform research findings into product innovation and competitive differentiation.
* Serve as a public thought leader through industry conferences, publications, customer engagements, and market-facing research.
* Translate complex analytical findings into compelling narratives for executives, regulators, customers, and technical stakeholders.
* Influence strategic business decisions through data-driven insights and forward-looking intelligence.
What We're Looking For
* 10+ years of experience in Data Science, Fraud Analytics, Risk Research, Quantitative Economics, or a related discipline.
* Deep expertise in fraud prevention, identity verification, financial crime, AML, risk management, or adjacent domains.
* Strong background in causal inference, econometrics, machine learning, statistical modeling, and predictive analytics.
* Experience analyzing large-scale datasets and extracting business-critical insights.
* Proven success building, mentoring, and leading high-performing technical teams.
* Exceptional communication skills with the ability to engage both highly technical and executive audiences.
Preferred Qualifications
* MS or PhD in Statistics, Economics, Computer Science, Mathematics, Data Science, or a related quantitative field.
* Experience in fintech, financial services, payments, credit, trust & safety, or identity verification.
* Exposure to graph analytics, network modeling, fraud ring detection, or advanced AI/ML applications.
* Published research, conference speaking experience, or recognized thought leadership within the data science community.
Why Join?
* Executive-level visibility and influence
* Opportunity to shape industry-leading research and innovation
* High-impact work at the intersection of AI, fraud prevention, compliance, and identity intelligence
* Collaborative environment with strong technical talent and leadership support
Interested in learning more? Reach out for a confidential conversation.
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