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PayPal Sr Manager Credit Portfolio Data Scientist 
United States, New York, New York 
19865295

Yesterday

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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