Discover Our Latest Training Opportunities

We’re happy to announce the first CPD trainings of 2026, including five web sessions and an onsite training in Warsaw, Poland. 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.

Don’t miss the chance to book early and benefit from our Early Bird Discounts. Secure your spot now and enjoy valuable professional development at a reduced rate.

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Life expectancy is a key metric for understanding mortality trends and it varies widely depending on factors such as age, gender and geography. During this websession, we will delve into the latest research and data on mortality trends and explore how they have changed over time.

Since the middle of the 20th century, world-wide mortality has steadily improved, but not at the same rate in all regions, so that clear differences can be recognised between countries. In some OECD - countries, there has even been a recent decline in mortality improvement, and the COVID-19 pandemic has at least temporarily reinforced this trend.

We analyse different age groups, their causes of death and how they coincide with mortality developments. In addition to that, we will discuss the drivers behind changes in mortality, such as advances in medicine and public health, changes in lifestyle and socioeconomic factors.

Understanding the various drivers of mortality is essential for predicting future trends and consequently for the assessment of the biometric risk in life- and pension insurance. 

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The insurance industry is undergoing a profound transformation, driven by the integration of Artificial Intelligence (AI) across the value chain. From underwriting and pricing to claims handling and customer interaction, AI enables insurers to operate with greater speed, precision, and insight. As AI becomes a strategic lever for sustainable value creation, insurers must address not only technical implementation but also governance, regulatory compliance, and ethical considerations.

This transformation creates a pivotal opportunity for actuaries. Their role is evolving – from traditional tasks such as valuation and reserving to becoming key enablers of AI-driven innovation.

This session begins with a strategic overview of how AI is transforming the insurance industry and explores its practical applications. A special emphasis is placed on Generative AI (GenAI), showcasing advanced techniques such as Retrieval-Augmented Generation (RAG) and structured outputs. These are illustrated through concrete examples such as automated reporting, knowledge assistants, and document comparison. The session concludes with best practices for implementation, governance, and cross-functional collaboration.

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The purpose of this web session is to lower the first barriers for actuaries to effectively work with Large Language Models (LLMs) in practice. Many colleagues are curious but hesitant to start, as programming and AI may feel distant from traditional actuarial work. This session is designed to bridge that gap.

Participants will gain confidence by seeing how effective prompt engineering works in real actuarial tasks and how an LLM can guide them through the process. They will also experience how to design and structure a Python workflow supported by LLMs – not in the abstract, but through a carefully prepared, practical example from life insurance.

The session aims to inspire participants to explore similar applications in their own work, showing that LLMs can become both an assistant and a tutor, helping actuaries to innovate and to integrate automation into daily actuarial practice.
 

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Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ). 

This is part one of four courses required to obtain the EAA Certificate in Actuarial Data Science. To earn the certificate, participants must complete all four modules, which include both the seminar and the exam. Members of AVÖ and/or DAV will obtain the additional title Certified Actuarial Data Scientist (by AVÖ and/or DAV) by fulfilling the same requirements. Furthermore, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams).

In this training, we intend to give an introduction to the concepts of Actuarial Data Science and its applications. We start at the very beginning, so no prior knowledge is required.

In this three-day training, we cover a wide range of topics. This includes a basic introduction to the concepts and terms of artificial intelligence, modern data management concepts (with a special look at insurance companies), aspects of data protection and the mathematical and statistical concepts of data mining. On our way, we touch different use cases in the actuarial environment. To this end, we provide a brief insight into the widely used language R and development tools in the data science context (RStudio, Anaconda). The seminar rounds off with principles for the ethical handling of artificial intelligence in the insurance environment.
 

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In 2016 the Paris Climate Accords came into force, with signatory nations committing to limit global warming to well below 2°C, ideally under 1.5°C compared to pre-industrial levels.

While global temperatures continue to rise and yearly emissions reached new records, the expected temperature increase by 2100 has been reduced by 1°C since 2015. This reduction can primarily be attributed to the substantial expansion of solar energy worldwide, which has increased tenfold since 2015 and whose production now exceeds nuclear power during the summer months.

The web session will shed light on the implications of this dramatic increase in electricity production form solar power. In addition, related key developments in the energy sector will be analyzed, that contributed to the decline of the rise in the predicted temperature. For example, what impact did the coal phase-out in Belgium (2016), the United Kingdom (2024), and Ireland (2025) have? What have been the effects of the global expansion of wind and solar energy? Is green hydrogen already contributing to decarbonization? Has the adoption of electric vehicles had a noticeable effect on oil demand?
 

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Organised by the EAA – European Actuarial Academy GmbH in cooperation with Polskie Stowarzyszenie Aktuariuszy.

With the rise of digital economy, cyber risk has become a major concern for all customer segments. Although the development of 'physical' protection strategies against cyberattacks is fundamental, no protection is perfect, and insurers are intended to play a crucial role in providing financial protection.

The cyber-insurance market is increasingly developing but with important uncertainties on the real value of the guarantees, due to the nature of the risk itself. The emerging and evolving nature of cyber-risk and its potential systemic component make it one of the most important social and economic risks and questions its insurability.

The purpose of this seminar is to provide an overview on cyber risk and on the ability of cyber insurance to cover it. After an introduction describing the specificities (technological, technical, actuarial) of cyber risk, we discuss the actuarial models that can be adapted to pricing and reserving in the context of cyber insurance and reinsurance. We also discuss the question of «insurability» of cyber, and of quantification and prevention of accumulation scenarios.
 

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8-10 October 2025

Assets and Liabilities Management Part 1: Introduction

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15 October 2025

Actuarial Data Insights: A Practical Guide on RAG and Advanced Techniques

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21 October 2025

Climate Change Scenarios: Application, Evolution, and Reporting

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22 October 2025

Intergenerational Fairness and Pensions

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23 October 2025

Modern Capital Market Concepts for Life and Pension Products

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27 October 2025

Risk Aggregation and Capital Allocation: From Calibration to Application and Beyond

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30 October 2025

Machine Learning Finance for Pension Funds with Examples

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3 November 2025

Addressing Class Imbalance in Machine Learning

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5-7 November 2025

Assets and Liabilities Management Part 2: Advanced

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10/11 November 2025

Hands-on Adaptive Learning of GLMs for Risk Modelling in R

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