As a key leader of the Credit Risk Management team for Intuit's business credit card product, this individual will be responsible for developing, optimizing and managing strategies for credit card underwriting, risk-based pricing, portfolio management, debt collections and loss forecasting. They will provide a strategic vision for growing product adoption by leveraging test and learn agendas, life time valuations based decisioning and risk prediction models. They will be responsible for developing and maintaining the credit policy for all stages of the product life cycle, and will be accountable for program performance. They will lead a team of analysts to set analytical agendas by identifying business priorities, framing key risk questions, and translating them into clear analysis roadmaps for the team. They will identify business problems that require modeling solutions and collaborate heavily with the Data Science team in the development and deployment of risk and performance prediction models. They will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes. This individual will effectively partner with multiple cross-functional teams to implement and monitor strategy changes across the card lifecycle. They will partner heavily with the marketing team to identify prospects from Intuit's vast customer base and drive customer acquisition efforts. This is a high visibility leadership role that presents an excellent opportunity to grow an analytical team through hiring, mentoring and developing talent. **Responsibilities** Develop, implement and manage credit risk management strategies across customer targeting, underwriting, portfolio management, collections and drive overall card profitability Leverage cashflow analyses and other business data 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 Product, Engineering, Compliance, Marketing, Operations, Capital Markets and other functions to implement and monitor credit strategy changes Proactively contribute innovative concepts for the creation of new financing products at Intuit **Qualifications** Minimum 8 years of experience in credit risk analytics and risk management, with some people management experience Familiarity with risk 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 senior audiences in decision making Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau MS/PhD in quantitative fields such as Statistics, Mathematic, Finance, Economics, Operations Research. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $199,500 - $270,000 New York City $187,000 - $253,000