Job Description

Intuit’s Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings. Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax. This role will be crucial in supporting our end-to-end analytics for consumer lending products. If you are passionate about working in a high-performing team that drives results through data-driven insights in consumer lending spaces, and understands the unique risks within Fintech, this role is for you. This role will focus on the fraud decision engine (Pegasus), converting our high-growth policies into a reality. You will partner closely across many sectors of the organization—product, fraud policy, engineering, operations—to make this happen. Each policy you implement directly affects our customer touchpoints, helping us continue offering a highly sought-after product on our platform. If you are a data expert, you will have an exciting opportunity in an industry that combines finance and technology. We are building accessible, affordable, and world-leading financial products for our customers! Responsibilities Partner with our fraud strategists to design new lending products, develop automation-driven fraud risk policies, and drive more efficient fraud prevention and detection. Conduct data quality audits and assurance on implemented tags, identify data collection issues, propose improvements, and oversee their implementation. Evaluate all possible data sources within the consumer lending ecosystem. Collaborate with data scientists and data engineers to plan and design our data architecture, pipelines, and features. Ensure all business needs are met and corner cases are evaluated in our data ETL processes, providing thought leadership. Explore new technological shifts to assess how they might benefit our customer offerings. Utilize cloud-based databases (e.g., S3, EMR, SageMaker in AWS, Spark) to analyze transactional data for fraud risk and translate findings into actionable business insights. Additional Responsibilities Collaborate with cross-functional teams—product development, management, marketing, data engineering, compliance, underwriting—to design products that increase market share. Work effectively in teams, demonstrating good judgment, creativity, and strategic thinking across multiple projects. Qualifications MS/PhD in Statistics, Operations Research, Industrial Engineering, Computer Science, or related fields; or a bachelor’s degree with 4+ years of practical experience. Proven experience in data exploration, pipeline development, and managing large-scale transactional datasets. Knowledge of decision platforms like Camunda, Provenir, FICO Blaze, Powercurve, SAS RTDM, Zoot, Drools, OpenCPU is beneficial but not required. Familiarity with BPMN or DMN is advantageous. Proficient in SQL, Hive, Hadoop, Tableau, and familiar with Python, Java, R, Spark. Understanding of engineering fundamentals, version control systems (Git, Github), and ability to produce production-ready code. Attention to detail with a strategic vision for data-driven products. Excellent communication skills, quick learner, confident in ownership, and adaptable to fast-paced environments. Compensation Intuit offers a competitive package with performance-based rewards. The estimated base salary range in Bay Area, California, is $144,000 - $195,000. The position is eligible for bonuses, equity, and benefits. Salary is determined by experience, skills, and location. For more details, see Intuit: Careers | Benefits . We promote pay equity through regular reviews across ethnicity and gender categories. #J-18808-Ljbffr Intuit Inc.

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