Intuit Manager Credit Risk Analysis 

United States, California, Mountain View 

431891559

• Develop, implement and manage credit risk strategies across customer targeting, underwriting, pricing, portfolio management, collections and drive overall card profitability
• Leverage cashflow analyses of Intuit’s Quick Books customers to enhance underwriting and overall risk management
• Develop A/B tests to help understand credit risk/return tradeoffs using hypothesis testing frameworks
• Develop monitoring frameworks and reporting on key performance indicators
• Establish performance expectations and maintain accountability for variance with actuals
• Partner with the Data Sciences team to develop and maintain models that predict multiple customer behaviors including default risk, utilization and profitability
• Partner with Capital Markets, Product, Engineering, Compliance, Marketing and other functions to implement and monitor credit strategy changes
• Proactively contribute innovative concepts for the creation of new financing products at Intuit

Mountain View-147,500 - 199,500

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at

• Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines or equivalent experience
• Minimum 3 years of experience in credit risk analytics and risk management
• Familiarity with credit scoring and modeling techniques including regression modeling, multivariate analyses and machine learning
• Familiarity with credit data such as bureau attributes and risk scores, cash flow attributes and alternate data sources
• Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
• Exceptional verbal and written communication skills to effectively communicate complex ideas and influence audiences in decision making
• Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau