Senior Analyst - Risk Data Intelligence, Fintech

One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit Quick Books is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside Quick Books to enable super-fast payments, payroll, bill pay, and access to capital.

With Quick Books, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.

One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit Quick Books is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside Quick Books to enable super-fast payments, payroll, bill pay, and access to capital.

With Quick Books, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.

We are seeking a Senior Fraud & Risk Analyst as part of our growing Risk Data Intelligence (RDI) team within Intuit’s Global Solutions Business Group (GSBG). Be at the cutting edge of fintech — GSBG moves tens of billions of dollars for Intuit’s customers. The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, and others) and use data to drive insights that help achieve GSBG’s short- and long-term outcomes.

We’re looking for a candidate who will help build a strong analytics culture as part of our growing team.

• Communicate insights clearly and concisely to technical and non-technical audiences, including leadership, through structured storytelling and executive-ready deliverables.
• Develop compelling, intuitive dashboards and visualizations that monitor performance, surface opportunities, and support timely strategic and operational decisions.
• Design, execute, and interpret data-driven tests and experiments (including A/B tests) to evaluate business initiatives and compare performance against goals.
• Partner with stakeholders and analysts so analytical solutions are scalable, repeatable, and aligned with team and company goals.
• Perform deep analysis on large-scale transactional and behavioral data to uncover trends, diagnose anomalies, and inform fraud, credit, or policy strategies, including new risk-adjusted approaches.
• Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and business judgment.
• Investigate root causes of performance gaps or anomalous risk behaviors, and recommend timely, data-driven corrective actions.
• Identify and address gaps in data quality, availability, or structure that limit measurement, experimentation, or insight generation.
• Build and maintain clean, reliable data pipelines to support monitoring and experimentation at scale.

• Strong analytical ability and proven business acumen with at least 3 years of experience in analytics, data science, or decision strategy. Experience in financial services or fintech preferred.
• Advanced SQL and working knowledge of Python for data exploration, transformation, segmentation, and automation of analytics workflows.
• Proficiency in data visualization tools (e.g., Quick Sight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
• Solid understanding of statistical analysis and experimentation, including A/B and multivariate testing; experience designing tests and interpreting results to guide decisions.
• Proven track record of influencing cross-functional decisions through data-driven…