Intuit Inc.
Staff Fraud and Risk Analyst– Financial Risk Strategy
Intuit Inc., Mountain View, California, us, 94039
At Intuit QuickBooks, we’re on a mission to empower small businesses to thrive by simplifying money movement and eliminating financial complexity—so entrepreneurs can focus on what they do best: running and growing their business. Our products help small businesses get paid faster, manage cash flow, and operate with confidence.
We’re seeking a strategic and data-driven fraud and risk leader to join our dynamic and innovative team. This role will shape and implement cutting-edge financial risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. You’ll be part of a fast-paced environment that values creativity, rigor, and impact, helping SMBs succeed in an increasingly complex financial landscape.
Responsibilities Lead the end-to-end development and execution of financial risk strategies—from opportunity identification to design, testing, launch, and post-production performance monitoring.• Leverage large-scale transactional and behavioral datasets to build, optimize, and automate fraud and credit risk policies for payments, payroll, bill pay, and checking products.• Partner cross-functionally with data science, risk operations, product, analytics, and engineering teams to design innovative, data-informed solutions that balance growth with risk control.• Develop customer segmentation strategies to target risk more precisely and unlock new business opportunities while maintaining financial integrity.• Evaluate and integrate third-party data providers and models, supporting enhanced decisioning around fraud, credit, and operational risk.• Design and execute controlled experiments to test new methodologies and continuously improve the accuracy, precision, and ROI of risk strategies.• Serve as a thought partner and subject matter expert on emerging financial risk trends, bringing external perspective to shape internal strategy.
Intuit provides a competitivecompensationpackage with a strong pay for performance rewards approach. The expected base pay range for this position is:
Bay Area California $172,000.00 - $232,500
This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about ourcompensationand 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. • Advanced degree (MS or PhD) in Statistics, Mathematics, Finance, Economics, Operations Research, or a related quantitative field or equivalent experience.• 6+ years of experience in financial risk analytics, fraud prevention, payments, or credit strategy within fintech, banking, or related industries.• Technical proficiency in SQL and Python; strong Excel and data visualization skills (e.g., Tableau). Familiarity with A/B testing frameworks is a plus.• Proven ability to translate complex data into actionable insights and communicate findings clearly to both technical and non-technical stakeholders.• Deep understanding of risk modeling, loss forecasting, fraud mitigation, and payment processing fundamentals.• Demonstrated strategic thinking, creativity, and sound judgment in high-impact decision environments.• Strong business acumen with a passion for innovation, a bias for action, and the ability to thrive in a fast-paced, evolving landscape.
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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. • Advanced degree (MS or PhD) in Statistics, Mathematics, Finance, Economics, Operations Research, or a related quantitative field or equivalent experience.• 6+ years of experience in financial risk analytics, fraud prevention, payments, or credit strategy within fintech, banking, or related industries.• Technical proficiency in SQL and Python; strong Excel and data visualization skills (e.g., Tableau). Familiarity with A/B testing frameworks is a plus.• Proven ability to translate complex data into actionable insights and communicate findings clearly to both technical and non-technical stakeholders.• Deep understanding of risk modeling, loss forecasting, fraud mitigation, and payment processing fundamentals.• Demonstrated strategic thinking, creativity, and sound judgment in high-impact decision environments.• Strong business acumen with a passion for innovation, a bias for action, and the ability to thrive in a fast-paced, evolving landscape.
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