The Vice President in Citi Bank’s Model Risk Management Division. He was invited as a Keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experiences in quantitative risk modeling using advanced engineering, statistical and machine learning technologies. His academic qualifications in combination with a PhD in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with a scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning and predictive analytics.
Quantitative Risk Modeling of Hydrate Bedding using Mechanistic, Statistical, and Artificial Neural Network Frameworks