Portfolio Oversight & Analytics Manager

Summary

Join Stripe's Policy & Portfolio Management team as a key member responsible for shaping the future of Stripe's credit policy. You will analyze model performance, monitor portfolio trends, and identify opportunities to reduce credit losses. Leverage Stripe's data assets to formulate recommendations and work with the first line team to optimize strategies. Collaborate with cross-functional stakeholders to shape new product development and scale risk processes. This role requires strong analytical, quantitative, and problem-solving abilities, along with proficiency in SQL and spreadsheet tools. You will also need experience in portfolio management, risk management, audit, or lending within the financial services industry.

Requirements

• Advanced degree in statistics, economics, decision science, or a related field, with a strong emphasis on quantitative analysis and data-driven decision-making
• Proven experience (7+ years) in portfolio management, risk management, audit or lending within the financial services industry
• Strong analytical, quantitative, and problem-solving abilities, with a rigorous, data-driven approach
• Proficient at writing complex and efficient SQL queries and spreadsheet tools (e.g., Excel, Google Sheets), with experience building data queries and dashboards
• Demonstrated ability to collaborate effectively with cross-functional stakeholders and manage deliverables in a fast-paced, unstructured environment
• Ability to manage multiple stakeholders and work in a complex environment

Responsibilities

• Analyze model performance and monitor portfolio trends, including market and macroeconomic trends, to identify opportunities for Stripe to reduce potential credit losses
• Quantify and clearly convey the outcomes and organizational value of data-driven insights to a diverse range of interested parties, from team members to executive management
• Function as a second line to ensure we are conforming to our credit standards and partner obligations
• Coordinate and lead stakeholder meetings to pinpoint areas for enhancing the efficiency and effectiveness of operational processes
• Collaborate with cross-functional stakeholders such as Treasury, Accounting, Product, Data Science, Engineering, and Capital Markets to shape new product development
• Help scale risk processes by working with partners to design and optimize outsourced workflows, including facilitating stakeholder sessions for process improvement
• Write data queries and build clear data dashboards to evaluate portfolio performance

Preferred Qualifications

• Experience with advanced statistical methods
• Programming experience i.e. Python, Ruby, Java
• Superior communication and relationship management skills, with experience in data storytelling
• Experience with credit scoring models
• Experience with stress testing requirements and methodologies including CCAR and DFAST