Sr Data Scientist (Credit Fraud Risk)
Core
Lead the development and implementation of advanced data-driven strategies and models to manage credit fraud risk for PayPal/Paidy's global payment network.
Role type
Senior IC data scientist (fraud risk)
Builds
Real-time fraud detection and alerting systems, scalable models for high transaction volumes
Domain
Financial services / Credit fraud risk
Deliverable
production ML models
Required skills
SQL, Python or R, data manipulation and analysis, fraud detection modeling, stakeholder communication, domain knowledge in fraud, high-pressure delivery
Preferred skills
Experience in financial services or e-commerce, ability to translate technical findings for non-technical stakeholders, proactive mindset, deep fraud domain knowledge
Technologies
SQL, Python, R
Responsibilities
Design and maintain real-time fraud detection and alerting systems; Develop and fine-tune models to identify fraudulent behaviors; Analyze complex fraud patterns and produce detailed reports; Coordinate cross-functionally with Engineering, Fraud Operations, Product, Marketing, and PR teams; Act as a primary liaison with external parties and vendors to identify new data sources or tools; Provide actionable feedback on product designs to ensure fraud resistance; Monitor and assess the performance of existing detection systems; Document processes and methodologies.
