Date & Time

-

Venue

Virtual (Zoom)

Maximum Qualifying Hours

1.00

Generalized Linear Models (GLMs) have been widely used in the insurance industry for the past 40 years. Its transparency and easy interpretation are the key factors that resonate with actuarial needs. In this webinar, we will talk about an extension of GLMs, Generalized Additive Models (GAMs), which allow us to capture any trend, not necessarily linear, and how applying new techniques such as penalized optimization can help automate model creation, while maintaining the level of transparency needed in insurance pricing.

Afternoon Forum


Panellists:

Thibault Imbert
Senior Insurance Solutions Manager, Munich Re

Thibault Imbert is Insurance Solutions Manager at Munich Re. He previously worked at AXA for 8 years, where he held several positions focused on Risk Management and Pricing before joining Munich Re as an Actuarial Consultant. He is now supporting primary insurers and Insurtech across the region on their Product and Pricing strategy. 
Thibault hold a Master of Science in Applied Mathematics from Ecole des Mines de Saint-Etienne.

Ruiqi Zeng
Strategic Partnerships Manager, Akur8

Ruiqi is Strategic Partnerships Manager at Akur8, working closely with consulting, product and data partners in APAC, Central and Eastern Europe. 

Monica Carvajal-Pinto
Actuarial Data Scientist, Akur8

Monica is an Actuarial Data Scientist at Akur8: she supports non-life insurers worldwide to accelerate and optimize their pricing process thanks to Transparent AI. Monica had experience in Consulting,Research and Teaching in Risk Theory and Actuarial Models. Monica has a Master degree in Actuarial Science and a PhD in Probability.


FEES

  • Members: Complimentary
  • Non-Members: $20.00

ADDITIONAL DETAILS

  • Zoom dial-in link will be shared 1 day before the session.

Registration Form

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