Conference
Vienna, Austria
May 28, 2024

Actuarial Modeling Club - Austrian Actuarial Association (AVÖ) Event

Akur8 is excited to take part in the Actuarial Modeling Club event organised by the Austrian Actuarial Association on May 28th in Vienna.

The conference will be addressing the following topic: "Cutting-edge in Pricing: Penalized Regression, Market Price Insights, and Practical Lessons", and will be presented by Jan Küthe, Actuarial Data Scientist at Akur8, Florian Nuding, Head of Pricing & Reinsurance at Wüstenrot, and Bartosz Gaweda, Actuarial Manager at Milliman.

Together, they will discuss penalized regressions in insurance pricing, comparing GLMs and GBMs, and highlighting practical applications and benefits in actuarial work, market price insights, and strategies for portfolio evaluation.

If you want to learn more, click on the button below. 👇

Featured speaker:
Jan Küthe, Actuarial Data Scientist, Akur8
Florian Nuding, Head of Pricing & Reinsurance, Wüstenrot
Bartosz Gaweda, Actuarial Manager, Milliman
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Learn more about the speakers

Portrait of Jan Küthe, Actuarial Data Scientist at Akur8
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Jan Küthe, Actuarial Data Scientist, Akur8

Jan Küthe is an Actuary (DAV) from Germany and works at Akur8 as an Actuarial Data Scientist to help insurance companies unlock the potentials of the twenty-first century. Before that he has been working as an Actuarial Consultant for three years. He holds a Masters degree in Mathematics from the University of Bonn and is an avid reader of the books of Anna Seghers and Dietmar Dath.

Florian Nuding Head of Pricing & Reinsurance at Wüstenrot
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Florian Nuding, Head of Pricing & Reinsurance, Wüstenrot

Florian is the Head of Pricing & Reinsurance at Wüstenrot, where his mission is to achieve pricing excellence, with a focus both on modeling and on the technical requirements for a dynamic setup.

Bartosz Gaweda, Actuarial Manager at Milliman
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Bartosz Gaweda, Actuarial Manager, Milliman

Bartosz is Actuarial Manager at Milliman, fascinated about motor risk modelling, especially using latest machine learning techniques.