Auto and leasing credit teams are rapidly moving from traditional rules-based scorecards to AI-driven models for decisioning, pricing and limit management. This session unpacks how lenders are deploying machine learning in production while managing fairness, explainability, and model risk. Speakers will share practical examples of performance lift, governance frameworks that satisfy boards and regulators, and where human judgment still needs to overrule the algorithm.
Speakers
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Jose Guido Sr Advisor, Credit Risk Deloitte Moderator -
Sarah Sun Sr. Director Risk Modelling RBC Speaker -
Matt Browning President Trust Science Speaker -
Dinesh Mistry SVP, Risk & Strategy Northlake Financial Speaker