Artificial Intelligence and Machine Learning in Financial Risk Management

This panel discussion, accompanied by presentation slides, will explore the application of advances in artificial intelligence to financial risk management. The panel will examine how AI methods and techniques—particularly machine learning—can help address complex risk management challenges, including tail risk, complex correlations, stress testing, and hedging, that are often exceptionally difficult to analyze using traditional methods and approaches. Moderator: Navin Sharma, Head of Risk and Portfolio Management Partnerships, Fitch Solutions; Part-Time Lecturer, ERM Program Panelists: Andrew Greenby, Chief Risk Officer & Chief Data Scientist, Ripple Effect Asset Management Rajiv Mallick, VP, Head of Credit Risk, New York Life Eugene Shuster, Head of Risk Management, Nomura Asset Management Register here: https://lnkd.in/evapRcsx #columbiaerm #enterpriseriskmanagement #ERM #riskmanagement #businessstrategy #artificialintelligence #AI #financialriskmanagement #FRM #machinelearning #tailrisk #complexcorrelations #stresstesting #hedging

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