ASM Webinar Series 2022: Next Gen Pricing: Optimizing GLM using Machine Learning and Integrated Geographic Smoothing
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ASM Webinar Series 2022: Next Gen Pricing: Optimizing GLM using Machine Learning and Integrated Geographic Smoothing

By March 21, 2022 April 25th, 2022 No Comments

Date 14/04/2022
Time 3:00 pm to 4:00 pm
Venue: Microsoft Teams Webinar
CPD Hours: 1.0
Member Charge: 0
Non-Member Charge: 0
Max No. Attendees: –
Invitation Type: Members only
Sign up link: Registration Closed
Sign Up Start Date: 22/03/2022
Sign Up End Date: 12/04/2022
Write-Up File Download:
Presentation Slides: Not available.
Synopsis: Innovation and recent developments in technology can help actuaries to be more efficient in existing core processes like technical pricing, thus reducing product time-to-market and freeing precious time to focus on value-added tasks.

In this webinar, Ken Lim, Consulting Actuary at Milliman, and Monica Carvajal-Pinto, Actuarial Data Scientist at Akur8, will discuss how Transparent Machine Learning can enhance risk and demand models. They will then focus on a specific use case of refined actuarial models leveraging geographical data.

Join us on April 14th at 3:00 PM (Malaysia Time)!

Featured Speakers

Ken Lim

Consulting Actuary, Milliman.

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Monica Carvajal-Pinto

Actuarial Data Scientist, Akur8

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  • Ken Lim

    Consulting Actuary, Milliman

    Ken is a Consulting Actuary with the Non-Life practice in Milliman’s Kuala Lumpur office. His experience includes pricing review, product development support, statutory reserve reviews, M&A due diligence and appraisal valuation for insurance and takaful companies in SE Asia including Malaysia. Prior to Milliman, Ken worked for a direct insurer in the United Kingdom focusing on personal line product pricing.

  • 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. Prior to Akur8, 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.