Webinar: Data Science Pricing of Motor Insurance

Event Type
Webinar
Organizer
EAA
Date
Time

9.00 am - 11.00 am GMT

10.00 am - 12.00 pm CEST

Venue
Webinar
Description

Risk models are a key competition factor in the business of Motor Insurance. Actuaries are looking for new techniques to make the most out of their data. The inclusion of modern Data Science methods into the actuarial daily work has proved to enhance the quality of risk models and to provide a better insight into the available data.

We will give a high level outlook on future development of (technical) Pricing in Motor Insurance and its impact on the work of actuaries. Data Science is an important part of this – our vision for the future of pricing.

After providing a typical Machine Learning workflow, we introduce the architecture of popular Data Science methods (Gradient Boosting, Neural Networks) and illustrate the strengths and weaknesses of these methods – also compared to GLMs. Further, we present approaches to evaluate and compare models to get a better understanding in terms of model interpretation but also in terms of identifying weak spots of currently used models.

Out of the demonstration of superiority of risk models enriched with Data Science methods, we finally provide some concrete business cases how to generate an added value for the insurance company.

This webinar is designed for practitioners who want to expand their knowledge about the application of Data Science methods in Pricing and for management functions who want to get an insight about recent and future developments of Pricing in Motor Insurance. Parts of the presentation are closely aligned to presentations given at the German Actuarial Association (DAV).

The registration fee is € 100.00 plus 19 % VAT

Your registration is binding. Cancellation is only possible up to 2 weeks before the first day of the event. If you cancel at a later date, the full participation fee is due. You may appoint someone to take your place, but must notify us in advance. EAA has the right to cancel the event if the minimum number of participants is not reached.

Please click here to register 

Please check with your IT department if your firewall and computer settings support webinar participations (the programme GoToTraining is used for the webinar). Please also make sure that you are joining the webinar with a stable internet connection.

On 19 May 2020, 9:00 - 11:00 GMT (10:00 - 10:30 CEST), there will be a test session offered to all registered participants to test the software

Agenda

The aim of this webinar is to provide an overview on recent and future developments using Data Science Methods in Pricing of Motor Insurance. On the one hand, they discuss most relevant Data Science methods in detail from the theoretic as well as coding point of view. On the other hand, the webinar includes an outlook on the change of actuarial work in the Pricing department as well as business cases arising from the use of Data Science methods in P&C Insurance Pricing.

Topics:

  • Future of (Technical) Pricing in Motor Insurance
  • Modeling Process
  • Architecture of Popular Machine Learning Models actuarial-academy.com
  • Implementation in Python
  • Evaluation and Model Comparison
  • Other Use Cases of Data Science in P&C Insurance Pricing
Speakers/Presenters
Frank Schönfelder, Senior Manager, KPMG
Dr. Gunnar Kaib, Assistant Manager, KPMG
Biographical details

Frank Schönfelder, Senior Manager, KPMG

Frank has studied Actuarial Science and is full member of the German Actuarial Association (DAV). He is a member of the DAV working group “P&C Pricing” and “Qualification in Actuarial Data Science”. Frank has a background of more than 10 years as Actuarial Consultant to the P&C Insurance industry. He works as Senior Manager at KPMG where he is also leading KPMG’s EMEA working Group on Pricing P&C Insurance.

Dr. Gunnar Kaib, Assistant Manager, KPMG

Gunnar is an Assistant Manager with KPMG. He has a strong quantitative background and holds a PhD in Mathematics in the field of Partial Differential Equations. He has been advising clients on the introduction and use of Data Science methods in Motor Insurance Pricing as well as on the automation of processes in the actuarial department.