Head of Data Science - Fraud Insights
Tasks
- Analyze fraud drivers with econometric rigor
- Collaborate with modeling and product teams
- Design causal inference studies
- Detect fraud rings in identity graph
- Extract insights from identity stack signals
- Lead and mentor research and analytics team
- Model adversarial behavior and attack typologies
- Own research agenda
- Produce technical and market research publications
- Represent company in conferences and regulatory working groups
- Support go to market thought leadership
- Translate regulatory guidance into model updates
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Modeling | Causal Inference | Difference-in-differences | Econometrics | Feature Engineering | Fraud analytics | Graph Databases | Graph analytics | Graph theory | Machine Learning | Network Econometrics | Python | Regression discontinuity | Regulatory Intelligence | Risk Modeling | SQL | Survival analysis | Survival models
Education
Roles
Data Science | Data Science Manager | Data Scientist | Head | Head of Data | Head of Data Science | Manager | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
Florida, US | Missouri, US | New York, US | California, US | Nevada, US | Washington, US
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