Newsletter on EAA Web Sessions - Benefit from our Early Bird Rates

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Book now and save money!

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Benefit from the Early Bird discounts of many EAA's web sessions taking placein May 2022
with early bird rates in March 2022. These online trainings cover topics such as

• the performance of an insurance company,
• clustering in insurance,
• IFRS 17 and
• Data Science and Data Ethics.

Furthermore, you are invited to visit our website for all published online trainings  here.

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Web Session: "Understanding the Performance of an Insurance Company (Introduction)" on 2-5 May 2022, 9:00-12:30 CEST

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The aim of this workshop is to

• Present the functioning of an insurance company and the insurance and financial products it manages
• Explain how to read and understand the different elements of an insurance balance sheet and P&L
• Compute performance indicators used in different regulatory frameworks
  (Local GAAP, Solvency 2)
• Understand the impact of pricing & portfolio management, risk mitigation (reinsurance) and ALM on the performance

We will cover life as well as non-life insurance. Health insurance will not be specifically covered.
This training is an introduction to main concepts and is therefore particularly suited for participants, coming potentially from different departments (product development, risk management, finance, accounting but also underwriting, claims management or IT), wanting to develop a broader view on how their work can influence the performance. It is also well suited for newcomers or people wanting to refresh their minds on these concepts.
Your early-bird registration fee is € 650.00 plus 19% VAT until 21 March 2022. After this date, the fee will be € 845.00 plus 19% VAT.
further details

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Web Session: "Advanced Concepts of Clustering in Insurance" on 6 May 2022, 9:00-12:15 CEST

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Cluster analysis is the task of grouping a set of objects (e.g., observations, policies, claims) in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups. In contrast to simple segmentation (e.g. by geographical location only), clustering uses several features to differentiate among those groups. Potential applications are manifold and centred around questions such as, for example:

• In which customer segments do we mainly generate new business?
• Which typical customer should we have in mind while designing new insurance products?
• How can we make use of granular information, such as diagnose or treatment codes, for example, while dealing with a limited number of observations or claims?
• How can we identify outliers in our underwriting or claims process?

The course shows how different algorithms can be used to obtain a segmentation of insurance data. The methods covered range from centroid-based (k-means, k-prototypes) to probabilistic (Gaussian Mixture Models) and density-based (DBSCAN) approaches. We demonstrate how the clustering results can be visualized and evaluated. Moreover, it will be shown how the clustering results can be used to identify outliers in the data set. We also cover techniques that reduce the dimension of the data so that the segments can be computed either on aggregated information or using only a subset of the available information. The course puts an emphasis on the practical application and therefore showcases all concepts on an insurance data set.

Your early-bird registration fee is € 150.00 plus 19% VAT until 25 March 2022. After this date, the fee will be € 205.00 plus 19% VAT.
further details

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Web Session: "IFRS 17: Investment Components and Other Non-Service Payments" on 11 May 2022, 10:00-12:00 CEST

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The IASB issued 2017 the new comprehensive insurance accounting standard IFRS 17, with amendments issued in 2020. In line with IFRS 9, IFRS 17 does not permit to present receipts and repayments of deposits, in IFRS 17 referred to as investment components, in P&L. In general, all payments which do not represent the provision of services are excluded from presentation in P&L. The identification of such payments requires judgment and the proper exclusion of those amounts from P&L is a challenge for the accounting systems.
The needed identification of cash flows not related to services introduces new considerations in the accounting process. Those will be discussed and approaches to achieve an adequate reflection in presentation. That does not only apply to contracts with savings elements, as in life insurance. As well non-life insurance contracts and reinsurance contracts often contain investment components and premium refunds. As well examples from those areas are presented and discussed.
Your early-bird registration fee is € 100.00 plus 19% VAT until 30 March 2022. After this date, the fee will be € 140.00 plus 19% VAT.
further details

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As the leading provider of high-class actuarial education and CPD activities in Europe, the European Actuarial Academy (EAA) will be hosting its third e-Conference on "Data Science & Data Ethics" with the aim

• to present up-to-date solutions to technical problems,
• to share best practices and personal insights
• as well as to offer a forum for actuarial and data science experts.

These topics and questions will be covered:

• LocalGLMnet: An Interpretable Deep Learning Architecture
• What are the Basic Similarities and Differences between Insurance Risk Modelling and Standard Machine Learning Techniques? - An Overview
• Bayesian Neural Network Perspectives for Actuarial Science - Review and Motor Claims Analysis Case Study
• Bancassurance: The Data, the Science, and the Ethics
• The How and Why of Data Science Risk Management?
• Applying Ethical Standards in Practice - Insights from New Zealand
• The Emergence of BDAI Regulation - Commonalities and Challenges

Your early-bird registration fee is € 90.00 plus 19% VAT until 12 March 2022. After this date, the fee will be € 125.00 plus 19% VAT.
further details

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actuarial-academy.com

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