Description
This job will lead the development and implementation of advanced data science models and algorithms to drive fraud prevention strategies for PayPal's consumer credit products.
You will work with stakeholders to understand requirements and deliver solutions, driving best practices in data science, ensuring data quality, and mentoring junior scientists.
Key responsibilities:
- Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products
- Identify opportunities and gaps within current portfolio of PayPal's Fraud Risk controls
- Formulate and propose solutions to ensure optimal balance between user experience, business enablement, operational expense, and loss exposure
- Effectively communicate complex findings and strategy recommendations to technical and non-technical audiences
- Monitor performance of existing and new solutions and optimize to ensure desired results
- Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance, and other teams
Requirements:
- Bachelor's degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics, or related quantitative discipline
- 3+ years proven credit or fraud risk analytics experience or equivalent
- Strong analytical and problem-solving skills, with ability to perform detailed analysis
- Excellent written, oral, and interpersonal skills
- Proficient in Python, SQL
Benefits:
- Comprehensive, choice-based programs to support all aspects of personal wellbeing
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security and support your mental health