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Fraud and Risk Analyst

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Intuit Inc.
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 177000 - 239000 USD Yearly USD 177000.00 239000.00 YEAR
Job Description & How to Apply Below

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small and mid-market businesses and the self-employed. To achieve this, the Fintech Risk organization is looking for a strong Staff Fraud and Risk Analyst to strengthen our first line of defense risk and controls program within Risk Governance.

As a Staff Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance.

More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.

Responsibilities

  • Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and AI-focused initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
  • Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines to enable successful AI-focused policy and operational Fintech Risk initiatives
  • Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
  • Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
  • Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
  • Develop dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
  • Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
  • Deep-dive into problems and resolve issues to drive conversations forward across teams independently with meaningful business outcomes
  • Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
  • Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
  • Create procedures, dashboards, alerts, scripts, AI skills, and other automations to increase efficiency and productivity in risk governance processes
  • Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
  • Lead and shape functional strategy with proactive strategic initiative development leveraging AI to build efficient processes
  • Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Qualifications

  • 8+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas
  • Bachelor’s degree (Master’s degree preferred) in STEM, Business, Accounting, or related field
  • Strong experience with R, Python, and advanced SQL skills and visualization tools such as Tableau, Quicksight, or others
  • Strong experience with both AI skill development
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