{"id":8204,"date":"2026-04-01T19:15:54","date_gmt":"2026-04-01T17:15:54","guid":{"rendered":"https:\/\/actuary.hu\/weblap3\/?p=8204"},"modified":"2026-04-01T19:41:58","modified_gmt":"2026-04-01T17:41:58","slug":"eaas-spotlight-new-learning-opportunities-in-2026","status":"publish","type":"post","link":"https:\/\/actuary.hu\/weblap3\/eaas-spotlight-new-learning-opportunities-in-2026\/","title":{"rendered":"EAA\u2019s Spotlight: New Learning Opportunities in 2026"},"content":{"rendered":"\t\t
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Continue 2026 with a curated selection of learning opportunities from the European Actuarial Academy (EAA). The programme features a mix of focused web sessions, a virtual conference, and an in-person seminar in Munich, offering flexible formats for different schedules and learning preferences. Explore the events below, pick your favourites, and secure your place.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Web Session: \nRisk and Inflation Modelling for Scenario Analysis\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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16 April 2026 | 9:00-15:15 CEST<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Inflation and interest movements depend on various factors which have become more volatile recently. Mostly we treat the ORSA scenarios relatively simply by calculating a parallel shift of a number of basis points or a rotation. Currently insurers are confronted with changes which are emerging simultaneously. Some clear examples are: Financial stress in France, import levies volatility, direct actions against companies, causing shortages and disruptions in optimised supply chains in the automotive industry.<\/p>

Recently we also have seen in analysis for the financial industry a clear dependency on big tech companies. It is expected that other companies and governmental organisations are similarly exposed to big tech companies.<\/span><\/p>

Lastly, the increases for government budget for defence and infrastructure put additional pressure on the price levels in the economy due to the fact that production capacity cannot expand accordingly. Such situations have an effect on future inflation rates depending on how quickly the additional budgets are spent.<\/span><\/p>

Some elements can be approached rationally, but behavioural aspects will also be considered. For example the import levies imposed by some countries and the retaliatory reactions to these levies can be extreme. This significantly increases the volatility.<\/span><\/p>

The core question for the scenario work is to combine the state of the various input variables into storylines for 5-8 scenarios in order to keep the scenario analysis process reasonable.<\/span><\/p>

In this web session, we will look into the drivers of inflation and risk in order to create a set of scenarios which are meaningful for steering the insurance business. Both life insurance and general scenarios will be discussed.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Web Session: Build LLM Inference in Excel: Advanced Excel to Demystify GPTs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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24 & 27 April 2026 | 9:00-12:30 CEST<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Microsoft Excel has been the crux and delight of the actuarial profession for at least the last 20 years. Notwithstanding its numerous design flaws, recent updates have breathed new life into this tool, making it capable of building algorithms that were simply previously unthinkable. At the same time, as actuaries, we have seen in the last 10 years the profession slide from a position of technical leadership, with the rise of data science first and AI now, falling down in the trap of the myth of the Black box model, a slight euphemism for intellectual laziness. The main aim of this course is to dispel this myth by showing that every actuary is perfectly capable to build and then understand how a GPT works just using Excel without any Python or VBA.<\/p>

Given the density and breadth of the material the session will be split across two days, in the first one we will introduce some theoretical concepts from computational and information theory which we will then see applied in Excel, whereas in the second one we will present a simple GPT architecture (OpenAI GPT-2) which we will partially rebuild in Excel. The sessions are structured to minimise theory to the bare necessary and have plenty of interactive polls and hands-on Excel exercises.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Web Session: Understanding IFRS 17<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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11-12 May 2026 | 9:00-15:00 CEST<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The goal of the two-day web session is to provide participants with a comprehensive introduction to the new measurement, presentation and disclosure guidance for insurance contracts. It will cover life, health and non-life business, including the special guidance on direct participating contracts and shorter term non-life contracts and give useful examples.<\/p>

In the web session, we will first shed light on the context of accounting for insurance contracts within the IFRS 17 framework. We will present and discuss the general concepts behind the new model and refer to the application of valuation models like the Variable Fee Approach (VFA) and the Premium Allocation Approach (PAA). The web session will proceed with a discussion of topics specific to individual lines of business. We will close with an overview of the most methodological relevant topics seen in various European markets, share emerging market experience and discuss these with the participants.<\/span><\/p>

Overall, the goal is to enable participants to understand the standard and help transfer the requirements into your specific situation. It is thus intended to prepare participants for model development, implementation, testing, reviewing and consulting with management, accounting and auditors.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Conference: \nEAA e-Conference on Data Science & Data Ethics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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20 May 2026 | 9:30-17:15 CEST<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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In an era marked by unprecedented technological advancements, the actuarial landscape has experienced profound transformations. The exponential growth of computational power and the abundance of data have converged and provide an exciting opportunity for the actuarial profession to redefine its boundaries and explore the ethical implications of this new field.<\/p>

The role of actuaries is evolving at an incredible pace but remains incompletely defined. We are at a crucial point where a new understanding of the possibilities of actuarial science and its ethical obligations needs to be created. Best practice experience sharing, and exchange of ideas\u00a0are needed. We are delighted to offer all interested actuaries and other experts a forum for knowledge exchange:<\/span><\/p>

On 20 May 2026, the virtual EAA e-Conference on ‘Data Science & Data Ethics’ will take place. The programme will blend keynote speeches featuring insights from renowned experts with selected talks delivered by professionals participating through\u00a0a CALL FOR SPEAKERS, providing a diverse range of perspectives and food for thought.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Web Session: Non-Life Pricing Using Statistical Techniques with R Applications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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26-29 May 2026 | 9:00-12:30 CEST<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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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:<\/p>