Sr Manager, Credit Portfolio Data Scientist at PayPal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Credit Risk Assessment, Data Analytics, Financial Modeling, Project Management, SQL, Python, R, Tableau, Excel, PowerPoint, Cash Flow Analysis, Structured Finance, Portfolio Monitoring, Data Management, Communication, Team Development, Mentorship

Industry

Software Development

Description

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 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 of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. 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 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. 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. Candidates must possess valid authorization to work in the country where the position is located. Relocation assistance is not provided for this role.

Responsibilities

Develop and implement strategies to meet financial goals while leading complex credit assessments. Deliver analytics-driven support for financial model building and enhance data pipelines for handling complex datasets.