Staff Fraud & Risk 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 QuickBooks 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 QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With Quickbooks, 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 Staff Fraud & Risk Analyst as part of our growing Risk Data Intelligence (RDI) team within Intuit’s Global Solutions Business Group (GSBG).
The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Global Solutions Business Group’s short and long-term business outcomes.

We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. RDI operates across three connected pillars — Analytics (forecast & report against organization goal), Insights (opportunity-finding and deep-dive analysis spanning all risk domains), and Alerts (near-real-time anomaly detection, increasingly powered by GenAI) — with a Decision Intelligence layer above all three that turns findings into forced, recorded decisions.

Responsibilities

• Communicate insights clearly and persuasively to diverse audiences, including senior leadership, through concise storytelling and executive-ready deliverables.

• Define and drive the development of intuitive, high-impact dashboards and visualizations that guide strategic and operational decisions across the organization.
• Lead the design, execution, and interpretation of experiments (e.g. A/B testing) to evaluate business initiatives and optimize product or operational performance.
• Partner with cross-functional leaders to shape analytics strategies that 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 the design of new risk-adjusted approaches.
• Forecast performance against committed organization goals and their key drivers, flag emerging variance early, and drive the decomposition and resolution of gaps against those commitments.
• Support the Decision Intelligence framework by helping convert flagged anomalies and insights into recorded decisions with clear ownership, so findings result in action rather than just visibility.
• Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and strategic reasoning.
• Investigate root causes of performance gaps or anomalous behaviors, and recommend timely, data-driven corrective actions to stabilize outcomes.
• Build and maintain clean, reliable data pipelines while proactively addressing gaps in data quality, availability, and structure to enable accurate experimentation and monitoring.

Qualifications

• 6+ years of experience in analytics, data science, or decision strategy roles, with a proven track record of driving measurable impact in complex, cross-functional environments. Experience in Financial Services or Fintech preferred.

• Deep proficiency in SQL and working knowledge of Python for data exploration, transformation, and automation of analytics workflows.
• Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
• Solid comprehension of A/B testing and experimentation principles; experience designing tests and interpreting results to guide decisions.
• Proven track record of influencing cross-functional team decisions through data-driven recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
• Demonstrated ability to lead cross-functional initiatives and align stakeholders across many teams through analytics.
• Skilled at ability to define, operationalize, and evolve KPIs or OKRs in partnership with cross-functional teams.
• Comfort operating in a decision-intelligence model — tiering rigor by stakes, driving flagged issues to a recorded decision, and holding cross-functional partners accountable to committed forecasts.
• Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.

New York $168,500 - $228,000