Senior Staff Fraud and Risk Analyst
Intuit · Mountain View, CA · 2 mo ago
On-siteFinance$200k–$270k/yrFull-time
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
- Create 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-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 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
Qualifications
- 10+ 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
- Advanced experience with R, Python, and advanced SQL skills and visualization tools such as Quicksight, Tableau, or others
- Advanced experience with both AI skill development and oversight of AI-focused initiatives from a risk governance perspective
- Clear understanding of risk and controls management, monitoring, 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 throughout the organization independently, including executive 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
- Advanced 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
- Ability to independently demonstrate strong execution and operational excellence, customer-centric outcomes, and acceleration of teams
- Prior leadership and strategy development experience
- Experience in Fintech with a focus on risk and controls from a money movement perspective is preferred