Staff Fraud and Risk Analyst
Intuit
- Location
- Mountain View, California
- Work model
- On-Site
- Level
- Staff
- Salary
- $176.5k – $238.5k/yr
- H-1B history
- 264 approvals (FY2023)
Skills
About this role
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 and oversight of AI-focused initiatives from a risk governance perspective Clear understanding of risk and controls management, testing, and/or model validation methodologies Strong project and time management skills with