Santander US Auto Business Wins 2025 FICO Decisions Award for Machine Learning Credit Risk Analysis

In This Article:

Santander uses FICO Platform to offer financing solutions across a wide range of credit profiles

HOLLYWOOD, Fla., May 07, 2025--(BUSINESS WIRE)--FICO World 25 – FICO (NYSE: FICO):

Highlights:

  • The Santander US Auto business uses FICO® Platform to enhance the use of machine learning capabilities to support credit risk analysis.

  • FICO Platform enables Santander US Auto to build an analytical framework for creating reusable, efficient systems that reduce development time.

  • The Santander US Auto business has won a 2025 FICO® Decisions Award for category AI, Machine Learning & Optimization.

At its FICO® World conference today, global analytics software leader, FICO announced that the Santander US Auto business, one of the largest auto lenders in the U.S., has won a 2025 FICO® Decisions Award for its use of machine learning. The business has transformed its credit risk assessment processes using FICO® Platform and its applied analytics and machine learning capabilities. Santander, which manages a $60 billion asset portfolio and serves over three million customers, is using FICO Platform to streamline model development, improve governance, and enhance predictive analytics in response to evolving market conditions.

For more information on FICO Platform, visit: https://www.fico.com/en/fico-platform.

"The FICO team has been instrumental in enabling the Auto business to use a unified platform to be more efficient and accelerate our timelines. FICO helped our modeling team reduce the number of tasks, allowing for our data team to focus on interpreting the analytics," said Bruce Jackson, head of the Santander US Auto Business and CEO of Santander Consumer.

Watch Santander tell their story, here: https://youtu.be/iseQCvr696g?si=3sMsK9nstMi24YjJ.

Santander is using FICO Platform to empower consumer credit risk in three primary functions: approving or declining credit applicants, assigned adverse action, and assessing the probability of default for use in pricing models. This allows the business to assess more applications for auto loans. The platform allows Santander to deploy machine learning and advanced analytics to drive business decisions and get new predictive models and strategies into production to keep pace with changing customer and market dynamics.

With rising interest rates and increased vehicle prices impacting affordability, Santander needed a more agile risk assessment framework. Legacy tools required manual, time-consuming recalibrations, delaying credit analysis and limiting the ability to respond quickly to market shifts.