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Derek Waldron

Partner, New York
Advises financial institutions on how to drive performance and transform risk management through advanced analytics, artificial intelligence, and big data transformations

About Derek

Derek helps clients use advanced-analytics techniques, such as machine learning and natural-language processing, to improve risk-adjusted performance and drive business growth. He is a member of our Risk and Financial Services Practices and leads our work on risk advanced analytics in North America.

Derek has more than ten years of experience in driving complex, large-scale, and innovative change programs for leading financial institutions. He has designed and led multiyear, bankwide transformation programs across a range of issues, including strategy, big data, analytics, operational transformation, and risk management and regulation. Derek has helped several financial institutions remediate postcrisis risk management and regulatory deficiencies. He has also leveraged advanced analytics to drive value in a variety of domains, such as transforming credit risk management, collection operations, customer life-cycle management, and pricing.

Derek leads more than 100 data scientists and risk-analytics consultants in the Americas, overseeing both knowledge investment and client service. He has a passion for creating innovative technology assets that leverage the power of advanced analytics. To achieve this, he pursues investments in talent, technology, and strategic partnerships. He is equally passionate about working with clients to help them build the capabilities they need to capture opportunities from data and analytics.

In addition to sharing perspectives on risk advanced analytics at leading industry events, Derek convenes roundtables of senior risk executives to push the latest thinking in the industry.

Prior to working at McKinsey, Derek spent eight years building computational software to solve a variety of business problems in the semiconductor, materials-science, and optical-telecommunications industries. While earning his PhD, he patented an invention resulting from his thesis.

From our blog

Digital blog,What’s the value of a better model? More than you may think,” McKinsey & Company, January 2019

Published work

Derisking machine learning and artificial intelligence,” McKinsey & Company, February 2019

Fighting back against synthetic identity fraud,” McKinsey & Company, January 2019

Risk analytics enters its prime,” McKinsey & Company, June 2017


McGill University
PhD, computational physics

University of Ottawa
MS, physics

University of Waterloo
BS, physics and mathematics