Upendra Belhe

Upendra Belhe

Job Title: Chief Data & Analytics Officer, P&C

Company: Gen Re

Dr. Upendra Belhe serves as Chief Data and Analytics Officer at Gen Re. In his current position, Dr. Belhe is responsible for developing and executing on the Strategic Data and Analytics Agenda for Gen Re’s Property and Casualty business. Upendra is particularly passionate about driving business outcomes through cross-pollination of data and insights across the enterprise.

Upendra’s expertise in solving complex business problems leveraging multiple computational and statistical techniques has allowed him to serve as an analytics leader for more than 21 years.  He has built and mentored analytics teams across the geographies from ground up. He continues to leverage his core competency in guiding teams to drive actionable business insights with the use of advanced statistical and predictive modeling methods, optimization and machine learning techniques.

Upendra joined Gen Re from Chubb, where he led Global Strategic Analytics agenda for the world’s largest publicly traded P&C insurance company.  Prior to joining Chubb, Upendra was a National Director of Information Analytics Practice at PricewaterhouseCoopers, where he helped clients design and execute their most critical business decisions based on the appropriate use of data and analytics.  Prior to PwC, he led the insurance analytics group at the Hartford Financial Group, where he helped business areas leverage internal as well as external data to create actionable business insights.  Upendra was a repeat recipient of the Hartford Chairman’s inventor recognition award.

Upendra holds a Ph.D. in Operations Research from the University of Iowa and has published in several international journals.

Speaking at the following:

9.45am - 10.15am
Keynote Presentation: Harnessing the power of collaboration through data-driven insights

Can reinsurance leverage the power of collaboration? Discussing the opportunities for carriers to equip themselves with insights from external conditions. Presenting the role of data analytics in fostering collaboration and communication without compromising confidentiality in order to bolster business outcomes. Discussing the potential impact of cross-business partnerships and talent inclusion on the bottom-line.