Gina Papush

Gina Papush

Job Title: Chief Analytics and Data Officer

Company: QBE Insurance

Gina Papush is recognized for proven leadership and expertise in analytic innovation and data-driven strategies that accelerate business growth in complex environments. During her 20-year career, she successfully built leading decision analytic and information management capabilities across diverse industries and business models, delivering significant business results.

As a Global Chief Analytics & Data Officer for QBE, Gina is spearheading the development of leading decision support and business optimization capabilities for the firm globally. Prior to joining QBE, Gina was Head of Mortgage Decision Management at Citigroup’s Global Consumer Banking unit and held various leadership positions within financial services and consulting industries. Her experience includes leading customer analytics, research, strategic business and marketing planning for retail banking, credit cards, retail, health care, manufacturing, and entertainment industries. She developed and implemented customer experience, segmentation, database marketing and risk management solutions for PNC Bank, General Electric Credit Services, Lowe’s, HBO, Roche Diagnostics, Whirlpool, and many other companies. She began her career in the field of environmental statistics.

Gina served as a member of Executive Board for Fulcrum Analytics. She holds a B.S. in Applied Mathematics from Kharkov University in Ukraine, and an M.S. in Statistics from the University of Maryland, where she also completed her Ph.D. qualifications.

Speaking at the following:

10.10am - 10.40am
Panel Discussion: Analytics innovation – an enabler to challenge and disrupt the traditional insurance model

Challenging information asymmetry regarding analytics and aligning key business stakeholders, including Data Scientists and Actuaries. Evaluate how to establish the business benefits of analytics in supporting all areas of the business including underwriting, product management, claims and actuarial. Potential to disrupt operational efficiency, product innovation and customer relationship.