Intuit Inc.
Overview
One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity. QuickBooks Capital is a nimble and high-priority business unit within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities
Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program Partner with the Data Science team to evaluate and enhance fraud model performance, identify modeling needs and lay out model development agenda Build a comprehensive fraud monitoring framework, including early warning indicators, trend analysis, and performance dashboards Establish clear performance metrics and maintain accountability for fraud loss rates, detection efficiency, and customer impact Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities Advocate for the use of AI, automation, and advanced analytics to improve fraud detection speed, scalability, and precision Develop and maintain fraud policies, governance frameworks, and escalation protocols for the credit card program Hire, mentor, and develop a high-performing fraud analytics team, fostering innovation, accountability, and career growth Represent the Fraud Risk function with senior stakeholders, clearly communicating risks, trade-offs, and strategic recommendations Qualifications
At least 6 years of experience in fraud risk analytics and risk management, including demonstrated people leadership and team development Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention Proven expertise with industry-standard tools, fraud platforms, and best-in-class risk models 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 Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines Compensation and Benefits
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Bay Area California $204,000 - 276,000. 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 Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity. QuickBooks Capital is a nimble and high-priority business unit within Intuit that is looking to reinvent small business borrowing. We are the fastest growing SMB lending business in the market. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities
Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program Partner with the Data Science team to evaluate and enhance fraud model performance, identify modeling needs and lay out model development agenda Build a comprehensive fraud monitoring framework, including early warning indicators, trend analysis, and performance dashboards Establish clear performance metrics and maintain accountability for fraud loss rates, detection efficiency, and customer impact Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities Advocate for the use of AI, automation, and advanced analytics to improve fraud detection speed, scalability, and precision Develop and maintain fraud policies, governance frameworks, and escalation protocols for the credit card program Hire, mentor, and develop a high-performing fraud analytics team, fostering innovation, accountability, and career growth Represent the Fraud Risk function with senior stakeholders, clearly communicating risks, trade-offs, and strategic recommendations Qualifications
At least 6 years of experience in fraud risk analytics and risk management, including demonstrated people leadership and team development Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention Proven expertise with industry-standard tools, fraud platforms, and best-in-class risk models 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 Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines Compensation and Benefits
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Bay Area California $204,000 - 276,000. 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 Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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