Staff Fraud and Risk Analyst
Intuit
Staff Fraud and Risk Analyst
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
We are seeking a Senior Loss Forecasting Analyst to lead the development, implementation, and monitoring of credit loss forecasting models across Intuit’s consumer and small business lending portfolios. This is a high-impact, strategic role that influences credit, finance, and product decisions. You will partner closely with cross-functional teams to translate macroeconomic dynamics, portfolio trends, and business strategies into accurate and actionable loss forecasts.
This role is ideal for an experienced forecasting or credit analytics professional who thrives in a fast-paced, data-driven environment and has a passion for improving financial outcomes at scale.
Responsibilities
- Lead the end-to-end development and continuous enhancement of loss forecasting models using statistical, econometric, and machine learning methods.
- Own the monthly and quarterly loss forecasting cycles, partnering with Finance, Risk, and Product to deliver insights and ensure alignment with strategic goals.
- Translate macroeconomic indicators, internal credit performance, and product changes into refined forecast assumptions and actionable scenarios.
- Drive stress testing, scenario planning, and sensitivity analysis.
- Maintain strong governance and audit readiness for forecasting models, documentation, and regulatory compliance.
- Serve as a subject matter expert on loss forecasting and credit analytics for cross-functional stakeholders and executive leadership.
- Mentor junior analysts and influence cross-team modeling standards and best practices.
- Leverage data visualization platforms (e.g., Power BI, Tableau) to present results and track forecast performance.
Qualifications
Required:
- Bachelor's or Master’s degree in Economics, Finance, Statistics, Data Science, or a related field.
- 8–10+ years of experience in credit loss forecasting, credit risk analytics, or quantitative finance, with increasing responsibility.
- Demonstrated expertise in loss modeling, economic drivers of credit risk, and lifecycle behavior of consumer or small business credit products.
- Proficiency in SQL and either Python, R, or SAS for large-scale data analysis and modeling.
- Deep understanding of regulatory frameworks including and stress testing requirements.
- Strong business acumen and ability to collaborate with cross-functional partners in Finance, Product, Risk, and Engineering.
Preferred:
- Significant experience in fintech, major banks, or consulting.
- Strong knowledge of Quicksight, Tableau, or other BI tools for visualization and dashboarding..
- Expert storytelling and presentation skills—ability to explain complex concepts to non-technical audiences.
- Familiar with machine learning and similar modeling techniques.
What You’ll Bring to the Team
- A data-driven mindset with strong attention to detail and a passion for solving complex problems.
- Ability to think critically about model assumptions and the implications of forecast outputs.
- Comfort working in a fast-paced, cross-functional environment with multiple stakeholders.
- Curiosity and a proactive approach to improving existing processes and uncovering new insights.