Prateek Chhabra

Prateek Chhabra

Job Title: Chief Risk Officer - Hanover Domestic Businesses

Company: The Hanover Insurance Group

Prateek Chhabra is Chief Risk Officer for Hanover’s US Domestic businesses including Personal, Commercial and Specialty Lines. He is responsible for enterprise risk management, reporting, governance and controls across all business lines and risk types. He also leads the efforts to develop, manage and support risk assessment models and methodologies including aggregation models, Catastrophe models, Economic Capital Model, etc.

Prior to Hanover, he worked at McKinsey in Risk and Strategy consulting specializing in risk transformation, risk gap analyses and risk based strategic planning. Before McKinsey, he worked at Aon in ERM Consulting and Alternative Risk Financing developing innovative tools for risk financing and mitigation. Prior to that, he worked at AIR Worldwide in Catastrophe Risk Modeling and Consulting.

Prateek holds an MBA in Finance and MIS from Rochester Institute of Technology, a Master’s degree in Finance and Marketing, and a Bachelor’s degree in Economics and Accounting.

Speaking at the following:

10.15am - 10.45am
Keynote Presentation: Bringing value to risk functions through improved data analytics

Understand how to bolster value add to all lines of business by implementing simplistic modelling and improved analytics. Case studies and experiences in improving interactions and structuring your insurance organisation to maximize the relationship between risk and data/analytics. Evaluate the importance in the organizational data value chain and foster a structured, sustainable approach to data… Read more.

10.45am - 11.15am
Panel Discussion: Examining how data analytics is reshaping risk processes in insurance

Many insurers are aware that data should be put to good use, processed and interpreted intelligently, but how can insurer’s align their strategy to optimize risk? Experiences in contextualizing data for risk management and market segmentation including claims process digitization insights. Leveraging data and analytics for risk mitigation, impact of predictive risk models and improving… Read more.