Stephen J. Tonna
Stephen J. Tonna is a senior banking solutions advisor at SAS. He is a PhD-trained professional with 10 years of statistical, scientific, and industry experience. The passion to discover practical ways to use artificial intelligence and associated methodologies like machine learning and deep learning as transformation tools is one reason that gets him up in the morning! At SAS, Stephen advises with specialized expertise in risk in the main areas of credit scoring and decisioning, model risk management, and how these and many other offerings can be used to realize risk transformation in the cloud. He thoroughly enjoys complex change management projects and finds it exciting to instill thought leadership to effect digital change and discover unrealized areas of process improvement. Stephen lives in Melbourne, Australia with his wife, Nini, and son, Sebastian James.
By This Author
Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
By Terisa Roberts and Stephen J. Tonna
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation
Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modeling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process.
Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.