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.
Web Session: Risk and Inflation Modelling for Scenario Analysis
16 April 2026 | 9:00-15:15 CEST
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.
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.
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.
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.
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.
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.
Web Session: Build LLM Inference in Excel: Advanced Excel to Demystify GPTs
24 & 27 April 2026 | 9:00-12:30 CEST
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.
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.
Web Session: Understanding IFRS 17
11-12 May 2026 | 9:00-15:00 CEST
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.
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.
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.
Conference: EAA e-Conference on Data Science & Data Ethics
20 May 2026 | 9:30-17:15 CEST
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.
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 are needed. We are delighted to offer all interested actuaries and other experts a forum for knowledge exchange:
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 a CALL FOR SPEAKERS, providing a diverse range of perspectives and food for thought.
Web Session: Non-Life Pricing Using Statistical Techniques with R Applications
26-29 May 2026 | 9:00-12:30 CEST
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.
Web Session : Fit4AI compact
2-3 June 2026 | 9:00-17:00 CEST
The two-day online web session is aimed at actuaries interested in getting started in the broad field of artificial intelligence and has already been successfully delivered for the German Actuarial Academy DAA – Deutsche Aktuar-Akademie GmbH. The aim is to teach key terms in the field of data science and artificial intelligence, essential concepts of machine learning, and social and regulatory frameworks. Developments in generative artificial intelligence will also be discussed. In addition to methodological and mathematical background information, the seminar focuses on practical knowledge, suggestions, and assistance for participants’ own work. The procedures and concepts taught are clearly illustrated and motivated using actuarial use cases from various sectors of the insurance industry.
Note: According to Article 4 of the European Union’s AI Regulation (AI Act), all persons working with AI must have the necessary AI competence. Participants in the seminar will receive confirmation of their AI competence for actuarial use cases in insurance.
Seminar in Munich, Germany
Machine Learning & Generative AI: A Hands-On Guide to Actuarial Practice
8-9 June 2026 | 8:45-17:00 & 9:00-15:00 CEST
Organised by the EAA – European Actuarial Academy GmbH in cooperation with Deutsche Aktuarvereinigung e. V. (DAV).
Machine learning (ML) and generative artificial intelligence (GenAI) are among the most transformative technologies shaping the future of the insurance and financial industries. Actuaries and data scientists are increasingly expected not only to understand these technologies but also to apply them responsibly and effectively in their professional practice.
This two-day seminar offers a comprehensive journey through machine learning on the first day and generative AI on the second. Hands-on coding exercises are included throughout, primarily using provided code snippets for experimentation and modification.
The first day covers traditional and modern machine learning, beginning with the foundations of supervised learning. Participants will explore both well-established methods, such as generalized linear models (including standard linear regression), and modern machine learning models like CatBoost, artificial neural networks, and ensemble methods. Strengths and weaknesses of these models will be discussed, along with the crucial topic of interpretability and explainable AI. The programme also includes special machine learning topics – such as unsupervised learning, time series forecasting, synthetic data generation, and recent innovations – which may be selected and emphasized according to the interests and preferences of the participants, ensuring that the content is tailored to their needs and provides a broad, up-to-date view of the field.
The second day focuses on generative AI, beginning with the basics of working with large language models (LLMs), including prompting techniques, pitfalls to avoid, and practical exercises using APIs or local setups. Building on this foundation, we will explore advanced concepts such as function calling, fine-tuning, structured outputs, and retrieval-augmented generation. The seminar concludes with an introduction to the emerging paradigm of agentic AI, where participants will see how LLMs can act as autonomous agents in applications like automated reporting or legacy system migration.
By combining conceptual insights with guided, hands-on coding exercises, the seminar equips participants to responsibly, creatively, and effectively apply machine learning and generative AI in real-world actuarial practice.
The seminar will be held in person, giving participants the opportunity to learn on site alongside other actuarial professionals, exchange ideas directly, and receive immediate support from the lecturers. The venue is the 4-star Novotel Munich City in Munich (details below). The evening event on the first day is giving participants the opportunity to connect, discuss practical questions, and build their professional network in an informal setting.
Web Session
DORA – The New EU Regulation on Digital Operational Resilience
12 June 2026 | 9:30-13:00 CEST
With the Digital Operational Resilience Act (DORA), the European Union has established a harmonised regulatory framework aimed at strengthening the digital resilience of financial institutions – including insurance undertakings – against ICT disruptions, cyberattacks, and other technology-related risks. The regulation has been directly applicable since January 2025.
In the course of implementing DORA, insurance undertakings have been confronted with a wide range of new organisational and technical requirements. Key questions include:
- How should digital risks be systematically identified, assessed, and managed within the ICT risk management framework?
- What implications does DORA have for existing governance structures and internal control systems within the undertaking?
- What requirements apply to the reporting of major ICT-related incidents to supervisory authorities, the systematic execution of digital operational resilience testing, and the management and oversight of ICT third-party service providers?
In addition to outlining the regulatory basis, the session will particularly address the interaction between DORA and existing supervisory frameworks like Solvency II.
Web Session
Solvency II Update
16 June 2026 | 9:30-12:45 CEST
The amended Solvency II Directive entered into force on 28 January 2025 and will apply from 30 January 2027 following national transposition.
This web session will provide an overview of the key amendments introduced by the revised Directive and the main attention points from the Delegated Regulation published on 29 October 2025 by the Commission. It will also cover the ongoing EIOPA consultation papers and the contribution of the AAE Solvency II Working Group.
You will gain a clear understanding of the practical implications of the new framework, its expected impact on insurers and supervisors, and the preparatory steps needed ahead of the 2027 application date.
Web Session
The New Insurance Performance Metrics (in Gaap, Solvency 2 & IFRS)
22-23 & 25-26 June 2026 | 9:00-11:30 CEST
Due to the inversion of the production cycle, the insurance business is very different from other traditional industries. Understanding, measuring and managing the performance of insurance companies is difficult due to the specific risks insurance companies must cover. It is therefore essential that you, as an employee of the insurance sector, understand how your company operates, how its activity is measured via the balance sheet and the income statement, which main regulations influence this measure, which indicators are used to assess the performance and what levers can improve this performance.
The aim of this web session is to:
- Understand how to read an insurance balance sheet (with a focus on technical provisions and own funds)
- Be able to read an income statement (P&L) across regulatory frameworks
- Compute relevant Key Performance Indicators (KPIs)
- Understand the impact of risk mitigation (reinsurance) and Assets and Liabilities Management (ALM) on the KPIs