• Conduct in-depth portfolio and trend analysis to identify key performance drivers, emerging risks, and growth opportunities • Develop insights and recommendations to optimize underwriting policies, credit decisioning, and fraud risk strategies • Monitor and evaluate key credit metrics (e.g., approval rates, loss rates, delinquency trends, vintage performance) and communicate findings to stakeholders • Partner with Analytics, Data Science, and Data Engineering to build scalable data models, automated reporting, and repeatable performance monitoring frameworks • Support strategy testing and measurement efforts (e.g., champion/challenger experiments) to improve decision quality and customer outcomes • Translate complex analyses into clear, concise narratives and recommendations for leadership and cross-functional partners • Mentor team members on analytical best practices and help strengthen a data-driven culture across the organization