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Data Science in the Next Generation of Risk Management

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Join us online on June 5, Friday to learn new developments in financial risk management and the role that data science play in this field.

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Data Science and Analytics Consulting Director and Co-founder, Colin Chen, will cover some new developments in financial risk management and the role that data science play within this field.

Colin will go over some common gaps between risk control and risk assessment/analytics across all risk types - credit risks, market risks, and operational risks. Then, he will introduce solutions to close these gaps and explain the roles that data science can play in these solutions. Finally, he will do a deep dive on operational risks and illustrate some potential progress data science can make in this field.

Colin Chen co-founded Data Science and Analytics Consulting, which focuses on data science projects from financial and media industries. He has over 12 years of experience in financial risk management. He worked at JPMorgan Chase as an Executive Director leading the Operational Risk Modeling group and at Bank of America as a Director of Model Risk Management. He also worked at Wells Fargo and Fannie Mae on credit and market risk models with mortgages, credit cards, auto loans, mortgage servicing rights and hedging. Colin also worked for the SAS institute for 10 years as a senior software developer. He was the 2013 Chair of the Section of Statistical Programmers and Analysts under the American Statistics Association. Colin holds a Ph.D. in Statistics and a master’s degree in Computer Science, both from Purdue University. He has published over 20 papers in professional journals.

Join us online on June 5, Friday to learn new developments in financial risk management and the role that data science play in this field. Save your spot today to receive the link to join this informative webinar.

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