New CPD releases for 2026

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We’re happy to announce new CPD releases of 2026. These events are designed to strengthen your skills, keep you up to date with the latest developments, and support you in fulfilling your CPD requirements.

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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. 

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. 

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. 

The agenda is planned as follows: 

1. Overview of inflation drivers and influence
2. Overview of the interest rate drivers
3. Expected future changes related to the drivers
4. Which mitigating actions can be taken?

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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. 

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.

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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. 

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.

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We are thrilled to announce our already 7 th e-Conference, centred around the captivating theme of 'Data Science & Data Ethics'. 

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 this CALL FOR SPEAKERS, providing a diverse range of perspectives and food for thought. 

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The purpose of this seminar is to provide participants with a solid understanding of both traditional and modern AI technologies, blending conceptual knowledge with hands-on coding exercises. Participants will learn to critically assess, implement, and experiment with machine learning models and generative AI techniques, and apply them effectively in actuarial practice, tailored to their professional needs and interests. 

By the end of the seminar, participants will be able to:

• Distinguish between traditional and modern machine learning models, evaluate their strengths and weaknesses, and apply them to actuarial problems.
• Understand the role and importance of model interpretability and ethics, and apply explainable AI techniques to enhance transparency.
• Explore special machine learning topics such as clustering, time series forecasting, and synthetic data generation, with the option to focus on topics aligned with participants’ interests.
• Apply basic and advanced prompting techniques to generative AI models, recognizing potential pitfalls and using appropriate error measures to evaluate performance.
• Integrate LLMs into actuarial workflows via APIs or local setups, leveraging advanced techniques such as function calling, fine-tuning, structured outputs, and retrievalaugmented generation.
• Understand the emerging field of agentic AI, including its concepts, practical implementations, and potential applications in insurance and finance. 

Other topics that are not explicitly mentioned – such as regulatory issues, deployment of AI solutions, or governance frameworks – are not the primary focus but may be addressed where relevant during discussions or hands-on exercises. 

The seminar strikes a balance between conceptual understanding, practical coding experience, and forward-looking insights, leaving participants with a toolkit of methods and techniques to responsibly and effectively apply machine learning and generative AI in their professional practice.

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28 January 2026

Worldwide Mortality: From Historical Trends to Future Projections

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2 February 2026

Volatility Adjustment under Solvency II

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3 February 2026

AI in Insurance: Strategic Imperative & The Actuary’s New Frontier 

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5/6 February 2026

CERA, Module C: Processes in ERM

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9 February 2026

From Excel Tariff Calculators to LLM-Powered Python Code

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17-20 February 2026

CERA, Module A: Quantitative Methods of ERM

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23-25 February 2026

Actuarial Data Science - Basic 

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26 February 2026

10 Years since Paris Climate Accord – Sunny Future or Rainy Days? 

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2/3 March 2026

CERA, Module D: ERM – Economic Capital

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4 March 2026

Introduction into Special Aspects of Life Reinsurance

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... and a lot more! Explore our CPD Flyer for more details.