The role will bring expertise in mapping business requirements to model design, application of regression, artificial intelligence and machine learning methodologies (broadly, AI/ML), utilization of Monte Carlo, bootstrapping, Bayesian techniques, strategic decision making, and regulatory engagement to influence enterprise practices, lead cross-functional initiatives, and drive data-driven outcomes. + Lead development of credit and fraud decisioning models for acquisition, account management, and adoption in partner strategies, leveraging deep knowledge of credit use cases to prioritize modeling efforts and manage the model inventory in alignment with business objectives.