Sr Data Scientist

PayPal PayPal · Fintech · Chicago, IL +1 · Data Science

This role focuses on developing and implementing advanced data science models and algorithms for fraud risk management within PayPal's fintech domain. The responsibilities include owning fraud risk policy, collaborating with stakeholders to optimize strategies, identifying emerging fraud trends, and developing mitigation strategies. The role requires strong analytical skills, proficiency in data science tools, and experience in payments or risk management.

What you'd actually do

  1. Own the areas of Fraud risk policy: Work on Broad area of projects from card risk strategies, acquisition and payment risk strategies, all depending on the business need.
  2. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance.
  3. Proactively identify emerging fraud trends and propose mitigation strategies.
  4. Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders.
  5. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights.

Skills

Required

  • SQL
  • Python
  • Advanced Excel
  • Tableau
  • Advanced Analytics expertise
  • Excellent Problem-Solving Skills
  • Collaboration & Influence
  • Exceptional communication skills

Nice to have

  • Payments / Transaction risk management / Credit / Fraud Risk

What the JD emphasized

  • Fraud risk policy
  • emerging fraud trends
  • fraud prevention
  • loss savings
  • transaction declines
  • risk mitigation strategies
  • Payments / Transaction risk management / Credit / Fraud Risk