**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 credit risk analyst 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 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 credit, fraud, 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. 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.