Managing Discrimination Risk of Machine Learning and AI Models
Businesses frequently rely upon predictive models to support or make decisions about investments, hiring and retention of employees, financial reporting,...
This website will offer limited functionality in this browser. We only support the recent versions of major browsers like Chrome, Firefox, Safari, and Edge.
David Skanderson specializes in the quantitative analysis of financial institution regulatory and litigation matters, and advises financial institutions on their fair lending compliance management programs.
He has more than 20 years of experience providing practical solutions to regulatory compliance, risk management, risk model governance, litigation and public policy issues. Dr. Skanderson has focused especially on issues related to consumer credit underwriting, pricing, marketing, and servicing, with a specialization in fair lending/non-discrimination matters. His experience with fair lending issues includes extensive analysis of mortgage, credit card, unsecured lending and small business lending issues. He works with both traditional and Fintech lenders to test their automated decision systems and scoring models for disparate impact risk. He also regularly serves as a testifying expert in home mortgage-related litigation matters on topics related to mortgage lending, including discrimination matters, underwriting practices, loan servicing, and loan modifications, including analysis of class action and damages claims. He has a demonstrated ability to apply statistical methods to regulatory compliance risk management; develop econometric models and statistical sampling procedures to support business and public policy decisions; and to work effectively with regulators, policymakers, attorneys, and senior executives.
Prior to joining CRA, Dr. Skanderson was with the Corporate Compliance department of Washington Mutual Bank where he was first vice president and senior manager of compliance review and analytics. There, he led departments responsible for fair lending statistical analysis and modeling, Home Mortgage Disclosure Act (HMDA) compliance, enterprise-wide compliance testing, and related data and systems support. He also served on enterprise committees and working groups responsible for governance of regulatory compliance, data systems, and model validation. Previously, he held senior manager positions at KPMG LLP and KPMG Consulting Inc. where he led statistically-focused projects on fair lending compliance matters and performed a variety of modeling engagements for corporate and government clients focused on Federal tax, budgetary, and regulatory policy.