Senior Fraud & Risk Analyst
Listed on 2026-01-12
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Finance & Banking
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IT/Tech
Data Analyst, Cybersecurity
Join to apply for the Senior Staff Fraud & Risk Analyst role at Intuit
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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 expand and strengthen our first line of defense risk and controls program within Risk Governance. As a Senior 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 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 polished 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‑dash 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 leveraging AI and other techniques 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 at the business unit level and drive system migrations for the broader program.
- Operate independently in ambiguous environments and develop scalable frameworks and analytics capabilities that move the needle at the business unit level.
- Provide guidance and mentorship to team members across the team to grow their skills and capabilities.
- Follow industry trends to develop strategic solutions that are best‑in‑class and meet industry standards from a risk governance perspective.
- 8+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas within a fintech, payment processing, lending, or online banking operations organization.
- Bachelor’s degree (Master’s degree preferred) in STEM, Business, Finance, Economics, or related field.
- Proficient experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others.
- Proficient experience with AI.
- Clear understanding of risk and controls management, monitoring, testing, and/or model validation methodologies.
- Strong…
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