Intuit Senior Fraud Risk Analyst 

United States, California, Mountain View 

245317442

As a Senior 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.

• Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
• 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
• 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, and/or 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
• Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Bay Area California $144,000 - $195,000

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

• 4+ 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
• Experience with R, Python, and advanced SQL skills and proficiency in visualization tools such as Tableau, Quicksight, or others
• Clear understanding of risk and controls management, testing, and/or model validation methodologies
• Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Team player with proven relationship-building skills and comfortable interacting with different levels of leadership
• Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
• Experience and passion with automating manual process and streamlining work systematically
• Strong analytical mindset, business acumen, and a drive/curiosity for continuous learning
• Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
• Experience in Fintech with a focus on risk and controls management is preferred