Manager 2, Fraud Risk Manager

Company Overview

Job 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.

As a key leader of the Fraud Risk Management team for Intuit’s business credit card, this individual will be responsible for developing, optimizing and managing strategies for fraud risk management through the product life cycle. This individual will have deep expertise in typical fraud behaviors involving identity fraud, bust out, check kiting, account take over and transaction fraud, and develop adaptive strategies to prevent and minimize fraud losses. They will engage heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. They will partner with credit risk managers in developing holistic approaches to mitigating total losses and setting expectations for program performance. They will be accountable for striking the right balance between great customer experience, program economic value and fraud risk mitigation. They will be responsible for developing and maintaining the Fraud policy for the credit card program.

This individual will be continually evaluating and onboarding new products and tools for underwriting and exposure management and will actively participate with leaders across lending products to develop a coordinated strategy for external vendor usage. They will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.

They will lead a team of analysts and managers to set analytical agendas by identifying business priorities, framing key risk questions, and translating them into clear analysis roadmaps for the team. This is a highly visible leadership role and presents an excellent opportunity to hire, mentor and develop analytical talent over time.

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
  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.
  

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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California,CA: $204,000 - 276,000