Teams at Mission Lane

Lead fraud analytics for application fraud detection: identify emerging patterns, design and test real-time defenses, balance risk and customer experience, build dashboards and metrics, and collaborate with Operations, Product, Data Science, and Engineering to reduce fraud losses and improve cardholder experience.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

Build and maintain advanced financial models and tools to evaluate funding alternatives, structure debt and equity strategies, and support capital raise activities. Partner with Credit, Data, and FP&A teams, generate investor materials, present to investors and senior management, and leverage large datasets and AI to drive reporting, analytics, and execution across the capital stack.