Essential Responsibilities:
- Develop and articulate clear objectives and implement strategies that deliver results and meet Financial goals
- Influence decision-making at the senior leadership level
- Perform the most highly complex credit and lending assessments using knowledge and extensive business expertise
- Develop and deliver innovative strategies that benefit customers and/or clients for financial success
- Lead major business projects which impact a business unit or entire function
- Design, evaluate, and select financial objectives based on thorough understanding of business needs and industry trends
- Lead others to solve issues of diverse scope
Expected Qualifications:
- Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
Data Scientist Responsibilities
- Analyze and aggregate PayPal’s global loan data to provide comprehensive insights for internal stakeholders and investor reporting.
- Deliver analytics-driven support for financial model building, including cash flow analysis, credit risk assessment, and pricing strategies.
- Lead efforts in creating dashboards, reports, and presentation materials that communicate complex data and trends to executive leadership and investors.
- Enhance data pipelines and infrastructure to ensure scalable, accurate, and secure handling of high-volume, complex loan-level datasets.
- Develop, validate, and maintain robust financial and credit models used for ABS transaction structuring and portfolio monitoring.
- Collaborate closely with ABS counterparties, investment teams, and business units to provide timely analytics for deal execution and capital markets activities.
- Stay updated and implement industry best practices around structured finance analytics, data privacy, and regulatory compliance.
- Liaise with many cross functional teams on everything related to capital markets workstreams
Minimum Qualifications
- Minimum of 5 years of relevant experience, including extensive exposure to data and loan portfolio analytics
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Science, or related quantitative field; advanced degree preferred
Education
- Bachelor's or Master’s degree or higher in quantitative disciplines such as Mathematics, Statistics, Economics, Finance, Business Analytics, Engineering, or Data Science from accredited institutions.
Professional Experience & Skills
- 5+ years of experience in data analytics, structured finance, or credit risk management, preferably at a fintech company, investment bank, or hedge fund.
- Proven track record working with large-scale loan data across multiple asset classes, including ABS portfolios.
- Strong experience building and maintaining financial and credit risk models that support investment decisions and capital markets transactions.
- Proficiency in data management and analytics tools including SQL, Python, R, Tableau, Excel, and PowerPoint.
- Skilled in synthesizing complex datasets to derive meaningful insights with urgency and accuracy.
- Excellent project management skills, including the ability to drive results and influence cross-functional partners.
- Experience advising internal stakeholders and external investors with clear, compelling communication of analytical results.
- Demonstrated leadership in team development and mentorship, fostering high productivity and continuous learning.
Work Permit and Relocation Prerequisites
- Candidates must possess valid authorization to work in the country where the position is located.
- Relocation assistance is not provided for this role.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $137,500 to $236,500
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