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New EAA Training Opportunities!

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CPD Newsletter
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Take a Look at Our Latest Training Opportunities
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Every four weeks, we highlight in our CPD newsletter the latest
trainings now available at EAA. This time, two new web sessions
have been added, covering key actuarial topics.
Whether you want to explore emerging trends or deepen your
technical expertise, these sessions provide valuable insights.

Take a look at what's new and find the right session for you!
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Web Session
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Non-Life Pricing Using Statistical Techniques with R Applications
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7-10 April 2025, 9:00-12:30 CEST
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Non-Life insurance is facing many challenges ranging from fierce competition on the market or evolution in the distribution channel used by the consumers to evolution of the regulatory environment. Pricing is the central link between solvency, profitability and market shares (volume). Improving pricing practice encompasses several dimensions:
  • Technical: Is our pricing adequate to cover the underlying cost of risk of my policyholders and the other costs we are facing? Which are the key variables driving the risk? Are they adequately taken into account in our pricing? What's the impact of the claims history of my policyholder on its expected risk? In which segment are we profitable and in which are we not profitable?
  • Competition: At what price will we attract the segments that we target and price out those that we do not want? Is the positioning of our competitors influencing our pricing practice and our profitability? What's my position with respect to my competitors in term of pricing? What are the segments in which I am well positioned and the segments where I am not well positioned?
  • Elasticity: What price (evolution) are our existing customers prepared to accept? Does the sensitivity to price evolution depend on the profile of my customer?
  • Segmentation: Is our segmentation granular enough for our purposes?
The aim of this web session is to present some advanced actuarial/statistical techniques used in non-life pricing or underwriting. The web session focuses on selected practical problems faced by pricing actuaries and product managers.

further details
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Web Session
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Quantifying Uncertainty in Actuarial Models: An Introduction to Conformal Prediction
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12 June 2025, 10:00-13:00 CEST
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As the actuarial landscape becomes increasingly data-driven, traditional statistical methods are evolving, linking point estimates with quantifiable uncertainty. Conformal Prediction is a powerful framework used to evaluate the uncertainty of predictions. It turns point predictions into prediction regions, in this way, when you make a prediction, the output has probabilistic guarantees that it covers the true outcome. In this web session, we will explore the theoretical foundations of Conformal Prediction, its assumptions, methodology, and advantages over traditional approaches. Participants will see how this technique can be a disruptive innovation in risk assessment, pricing, reserving, and forecasting by integrating uncertainty directly into predictions. The session is balanced between theory and hands-on activities, offering real-world examples and code demonstrations in classification, regression, time series, natural language processing (NLP), and computer vision, all applied to challenges in the actuarial field.

further details
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Further Trainings
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24-26 February 2025
Actuarial Data Science - Immersion
further details

17 March 2025
The UBI Motor Insurance Telematics Pipeline Blueprint
further details

18 March 2025
SII-Review: Completion of the Framework
further details

21 March 2025
Building an Interpretable Machine Learning Model
further details

28 March 2025
Non-Financial Statement
further details

31 March 2025
AI Act: The Insurance Fallout-Use-Cases & Exemplary Implementations
further details

3/4 April 2025 in Athens
Understanding the Performance of an Insurance Company
further details

7-10 April 2025
Non-Life Pricing Using Statistical Techniques with R Applications
further details

... and a lot more! Explore our website for more information.
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­ actuarial-academy.com ­