• Own and evolve Earnest’s Model Risk Management framework, ensuring our credit, loss forecasting, fraud, marketing, and finance models are rigorous, transparent, and built to scale responsibly. • Lead independent end-to-end model validations — from conceptual soundness and data quality to performance monitoring and implementation review — delivering thoughtful, constructive challenge to modeling teams. • Partner closely with Data Science and Risk leaders early in the model design process to strengthen assumptions, improve methodology, and elevate modeling standards across the company. • Oversee model performance monitoring and proactively identify emerging risks, performance drift, or control gaps — ensuring timely, practical remediation. • Deliver clear, decision-ready validation reports and communicate technical findings in a way that drives strong business outcomes and sound risk decisions. • Serve as a trusted advisor on model governance, helping Earnest move fast while maintaining the discipline and controls required of a best-in-class lending platform.