PayPal is looking to develop and implement advanced data science models and algorithms to solve business problems related to credit risk, lending decisions, and portfolio performance.
Requirements
- advanced data science models
- advanced analytics
- unit economics
- key performance indicators (KPIs)
- metrics related to credit risk
- portfolio metrics
- segment-level performance
Responsibilities
- Lead the development and implementation of advanced data science models.
- Develop, refine, and implement credit risk strategies using advanced analytics and unit economics to guide smart, profitable lending decisions
- Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications
- Monitor key portfolio metrics and segment-level performance to identify and address emerging credit risks proactively
- Ensure data quality and integrity in all processes.
- Stay updated with the latest trends in data science.
- Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending
Other
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Mentor and guide junior data scientists.
- Partner cross-functionally with teams including Machine Learning, Fraud, Compliance, Legal, Marketing, Product, Engineering, Bank Partners, and more to align risk strategies with customer and business objectives
- Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
- Lead end-to-end project execution with minimal assistance as a credit risk expert
- Any equivalent combination of education and experience.
