Artificial Intelligence in Risk Management

In his career, Daniele has worked for two financial institutions (Deutsche Bank and HSBC) across four countries (Italy, UK, China and Hong Kong).

He started his career for Deutsche Bank in Credit Risk delivering regulatory projects. He subsequently joined HSBC Group to work on portfolio risk management as a quant and risk manager and later as a program delivery lead focusing on data science and advanced analytics. Daniele is currently the Interim Head of Wholesale Credit & Lending Analytics at HSBC in Hong Kong.

Agostino Capponi is an Associate Professor of Industrial Engineering and Operations Research at Columbia University. He is a member of the Data Science Institute, the Center for the Management of Systemic Risk, and the FDT Center for Intelligent Asset Management. Agostino also serves as an External Consultant at the U.S. Commodity Futures Trading Commission, Office of the Chief Economist, on topics related to clearinghouse collateral requirements and financial stability.

Anand Rao is a Distinguished Services Professor of Applied Data Science and AI in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Anand Rao has focused on research, innovation, applications, business and societal adoption of data, analytics, and artificial intelligence over his 35-year consulting, industry, and academic career. Anand was the Global Artificial Intelligence Leader for PwC, a Partner in their Data, Analytics, and AI practice, and the Innovation lead for AI in PwC’s Products and Technology segment. Anand led a team of practitioners who advised C-level executives, develop, and implement advanced analytics and AI-based solutions across several industry sectors including financial services, insurance, healthcare, technology-media-telecommunications, retail, aerospace, and defense sectors. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, software engineering expertise, statistical expertise, and modeling expertise to generate unique insights into the practice of ‘data science’ and artificial intelligence.