Staff Fraud and Risk Analyst

Overview Intuit is a global platform company powering prosperity for consumers, small businesses and the self-employed. Across Turbo Tax, Credit Karma, QuickBooks, and Mailchimp, Intuit serves over 100M customers with a focus on innovation, customer centricity, and a top workplace. As part of our commitment to preventing fraud across consumer lending products, we are expanding our Fraud Policy team. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our team. Responsibilities Develop fraud risk policies for consumer lending and banking products, focusing on fraud detection and prevention for money movement features. Create end-to-end risk policies and drive alignment with cross-functional stakeholders. Manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Bring expertise in fraud risk, financial analytics, and innovative risk strategies to enable growth, profitability, and trusted customer experiences. Mine massive-scale account and transactional data to build/optimize fraud risk strategies and translate findings into actionable plans. Lead the full cycle of risk strategy/policy work: identify opportunities, develop and test policy, launch to production, and monitor performance. Develop subject-matter expertise in different risk types across money movement offerings to balance risk mitigation and growth. Collaborate with data science, risk operations, product, data engineering, and analytics teams to drive customer segmentations, develop innovative risk strategies, and conduct portfolio analyses. Evaluate third-party data providers to address exposure risks such as stolen identity and account takeover. Design, implement, and monitor testing to explore new methodologies and estimate key metrics for risk strategies. Apply sound judgment and strategic thinking in all work. Qualifications Strong business acumen and analytical ability, with 5+ years of relevant experience and a bachelor’s degree in quantitative fields (Statistics, Mathematics, Finance, Data Science) or an MS/PhD with 2+ years of relevant experience. Preferred experience in Fintech, Payments, NeoBanking, Crypto, or Money Movement. Working knowledge of risk policy fundamentals for consumer loans and lines of credit including fraud detection and identity checks. Experience designing experiments and using data-driven insights to solve business problems. Proficiency with SQL, Excel, Python, R, and data visualization tools; familiarity with big data technologies such as Hive and Hadoop is a plus. Strong collaboration and communication skills to interact cross-functionally with business and technical partners. Ability to tell stories with data to influence stakeholders. Ability to thrive in a fast-paced environment and be responsive during peak fraud activity. Curiosity to analyze data, understand complex business issues, and pursue opportunities for innovation. Compensation and Benefits Intuit provides a competitive compensation package with pay-for-performance rewards. This position may be eligible for a cash bonus, equity rewards, and benefits in accordance with company plans. Pay is based on job-related knowledge, skills, experience, and location. Intuit conducts regular comparisons across ethnicity and gender to ensure fairness in pay. The expected base pay range for this position is New York: $168,500 – $228,000. #J-18808-Ljbffr