Case Study: Leading Fintech & Financial Company achieves independent model validation and regulatory compliance with DataRobot AI Services

Independent Model Validation through DataRobot’s AI Services

Leading Fintech and Financial Company, a U.S.-based fintech that provides customer financing and merchant credit programs, was building mission-critical ML models (internal credit score, fraud score, dealer score) on DataRobot’s Enterprise AI platform but needed to meet stringent model risk management and regulatory requirements (e.g., SR-11-7, FIL-22-2017, FCRA). Concerned that traditional third‑party validators lacked the data science expertise to validate complex gradient‑boosted models, they engaged DataRobot and its AI Services advisory team for independent model validation.

DataRobot’s AI Services performed an autonomous, end‑to‑end validation engagement—covering project planning, documentation and methodology review, model performance assessment, testing and analysis, and delivery of a final Model Validation Report and workpapers—providing replication, challenger benchmarking, issue remediation recommendations, and governance guidance. As a result, the company achieved measurable improvements in model flexibility, diversification, deployment speed and accuracy, secured the regulatory confidence needed for its bank partnership, and committed to annual model validations with DataRobot.