Sr Manager, Data Science

PayPal • Chicago, IL

28d • Hybrid

About The Position

The Global Merchant Lending team enables businesses to access responsible and scalable credit solutions. As a Senior manager, this role will lead the development and execution of data-driven credit strategies, frameworks and policies that shape how PayPal manages risk across its merchant lending portfolio.

Requirements

• 8+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
• Experience leading others
• Proven experience in credit risk strategy, policy development, and portfolio analytics
• Strong understanding of the commercial credit ecosystem including credit products, bureau information, bank and cash flow data, and alternative data sources used for credit risk underwriting and monitoring
• Demonstrated analytical and quantitative skills with the ability to translate insights into actionable strategy
• Excellent communication and influencing skills with experience presenting to senior management

Responsibilities

• Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data science team.
• Design and enhance credit strategy frameworks governing originations, renewals, and portfolio management to support healthy and scalable growth
• Develop and maintain credit policies and guardrails that balance business expansion with sound risk management principles
• Build analytical frameworks and monitoring tools to assess portfolio health, track early warning indicators and identify emerging risks
• Partner with data science on deployment, monitoring and calibration of credit risk models and segmentation strategies
• Collaborate with Commercial, Product, Platform, Governance, Engineering, and Finance teams to integrate credit strategies and decisioning into product design and system architecture

Benefits

• flexible work environment
• employee shares options
• health and life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees