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The position involves designing and developing models to drive impactful decisions for the Auto Lending business throughout the customer lifecycle, including acquisition, pricing, collection, and recovery. The role requires applying quantitative, data science, machine learning, and analytical skills to complex problems. Collaboration with various stakeholders throughout the entire model development process is essential to find actionable solutions used in production environments. The candidate will create and maintain databases used for analytics, model development, and reporting, and will work with internal and third-party data to evaluate new inputs used to identify trends and credit profiles. Responsibilities also include model development, data evaluation, model selection, and testing, as well as applying the latest machine learning model explainability techniques and methodologies to communicate results to business partners and customers. The candidate will act as a subject matter expert and mentor junior analysts.
