Ric is a former Big 4 analytics and AI consulting leader with 30 years of experience advising financial services clients on complex risk and compliance challenges associated with consumer credit models - particularly the intersection of AI/ML model methodologies, model risk management, explainability, fair lending analytics, and algorithmic fairness.

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Ric's reputation as a key trusted advisor for high-stakes matters was built through his unique ability to provide senior-level perspectives and insights in deeply technical areas, his ability to communicate effectively between technical and non-technical audiences, and his ability to simplify technical topics for key stakeholders.   In particular,

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• On the compliance side, Ric is a long-time industry leader in the application of data-driven analytical methods to identify potential disparate treatment risks in loan pricing and credit decisioning, as well as the identification and remediation of algorithmic bias in credit decision models.  In fact, many clients have trusted Ric to advise their analytical responses to federal- and state-level fair lending investigations and enforcement actions – including matters before the Civil Rights Division of the US Department of Justice, the Consumer Financial Protection Bureau, the Office of the Comptroller of the Currency, the FDIC, the Federal Reserve Board, and the NY Department of Financial Services.

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• On the safety and soundness side, Ric has worked with numerous banks throughout his career - including 8 of the top 10 banks - to evaluate the design and operating effectiveness of first, second, and third line of defense model risk management functions.   

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In addition to his advisory services, Ric freely shares his perspectives in his popular AI LendScape Blog and eBooks where he dives into many of the thorniest risk and compliance issues currently facing industry participants and regulators - such as risks in AI/ML credit scoring, algorithmic fairness, automated debiasing methods, bank-fintech partnerships, and biases in race/ethnicity proxy methods.  Ric's research has been cited in ABA Bank Compliance, National Mortgage News, the Georgetown Law Journal, and FinReg Lab research.

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Ric earned a PhD in Economics from the University of Rochester and a B.S. in Finance and Economics, summa cum laude, from the State University of New York College at Oswego.