Job Description
**Overview**
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.
**What you'll bring**
- 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.
**How you will lead**
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 competitive compensation package 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 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._
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Job Tags
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