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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260629T100000
DTEND;TZID=Europe/Vienna:20260629T121500
DTSTAMP:20260510T034638
CREATED:20260304T110620Z
LAST-MODIFIED:20260304T110620Z
UID:10000627-1782727200-1782735300@avoe.at
SUMMARY:EAA Web Session 'Deep Learning in Finance for Pension Funds with Examples'
DESCRIPTION:Deep Learning supports Solvency Requirements for Pension Funds and ensures the Guarantee of Benefit Payments at any time. It is particularly well-suited for time series forecasting related to inflation\, yield curves and asset allocation returns in order to prepare and review these. We use the Long short-term memory (LSTM) method\, a type of recurrent neural network (RNN)\, as well as other neural networks. \nDeep learning is a type of machine learning that uses multi-layered neural networks. The libraries programmed with Python are fascinating areas of research because they help to verify time series forecasts and to understand how long it might take for the pension fund to reach the target value of the investment fluctuation reserve based on the current situation. \nRNN-based models\, particularly LSTMs\, are increasingly being used to capture complex spatio–temporal dependencies\, while hybrid architectures combine convolutional and recurrent components (i.e.\, CNN-LSTM). Researchers have developed hybrid models that further improve prediction accuracy\, which is very important for financial forecasting.\nAnmeldeschluss: 2026-06-25
URL:https://avoe.at/event/eaa-web-session-deep-learning-in-finance-for-pension-funds-with-examples/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260831T090000
DTEND;TZID=Europe/Vienna:20260902T170000
DTSTAMP:20260510T034638
CREATED:20260407T084849Z
LAST-MODIFIED:20260407T084849Z
UID:10000640-1788166800-1788368400@avoe.at
SUMMARY:EAA Web Session 'Actuarial Data Science - Completion'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ). \nThis is part four 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. \nFurthermore\, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams). \nIntroduction\nDue to technological progress in connection with Data Science and Digitalization\, summarized under the buzzword Big Data\, a plethora of opportunities and challenges for the industry is arising. \nTechnological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries. \nUnder the heading Actuarial Data Science\, the procedures and methods of data mining are embedded in the actuarial context. These range from mathematics-driven statistical methods for derivation of insights from data to computation-driven methods sometimes summarized as machine learning. As a result of almost unlimited computing capacity through cloud computing and wide availability of training data\, tried and tested methods of machine learning\, such as artificial neural networks\, are experiencing a renaissance in theory and practice. \nThis web session is the fourth part of a four-part series at the German Actuarial Association (DAV). In this online training\, we will expand on and deepen some of the topics already known from the basic\, advanced and immersion seminar\, discussing further important techniques in the context of deep learning and data storage. It is based on the learning objectives of the DAV for Actuarial Data Science Immersion\, which is part of the actuarial training in Germany.\nAnmeldeschluss: 2026-08-27\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/actuarial-data-science-completion-e0569/
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-completion-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260907T090000
DTEND;TZID=Europe/Vienna:20260910T170000
DTSTAMP:20260510T034638
CREATED:20260407T084644Z
LAST-MODIFIED:20260407T084644Z
UID:10000639-1788771600-1789059600@avoe.at
SUMMARY:EAA Web Session 'CERA\, Module B: Taxonomy\, Modelling and Mitigation of Risks'
DESCRIPTION:The web session focuses on quantitative analyses of financial and non-financial risks of an insurance company and the effect and possible applications of risk mitigation techniques. After an introduction to the economic valuation of an insurance company\, including stochastic valuation models and approximation techniques for life companies\, and the building blocks of its economic balance sheet\, the risk measure as well as the relevant regulatory requirements of Solvency II will be discussed. Different concepts of risk modelling covering from standard formula to fully internal models will be presented. \nMethods for modelling market\, credit\, operational and underwriting risks will be presented in detail. The discussion covers the risk definition and identification and how it can be distinguished from other risks. Qualitative and quantitative valuation approaches will be discussed – including scenario analyses\, stress tests\, deterministic and stochastic assessments. Furthermore\, crucial aspects of any model such as assumptions\, distributions\, calibration and validation are discussed\, as well as limitations and criteria for the adequacy of a model for solving a given problem. \nHaving introduced and discussed the risk modelling\, tools and techniques will be discussed that are available in the insurance business to mitigate these risks. That includes the discussion around the implications of reinsurance and securitisation as well as portfolio management. We will also present what life insurance companies subject to traditional with profit business can do to hedge their main risks. \nBoth elements\, risk modelling and measurement as well as risk mitigation\, are closely related and interact with each other\, what will be reflected in the topics presented and the structure of the seminar. \nThe consolidated view on risks in a company and an outlook on Group models close the course.\nAnmeldeschluss: 2026-09-03\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/cera-module-b-taxonomy-modelling-and-mitigation-of-risks-e0535/
URL:https://avoe.at/event/eaa-web-session-cera-module-b-taxonomy-modelling-and-mitigation-of-risks-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260916T090000
DTEND;TZID=Europe/Vienna:20260916T170000
DTSTAMP:20260510T034638
CREATED:20260407T084517Z
LAST-MODIFIED:20260407T084517Z
UID:10000638-1789549200-1789578000@avoe.at
SUMMARY:EAA Web Session 'Actuarial Data Science – Advanced'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ). \nThis is part two 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. \nFurthermore\, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams). \nIntroduction\nDue to technological progress in connection with Data Science and Digitalization\, summarized under the buzzword Big Data\, a plethora of opportunities and challenges for the industry is arising. \nTechnological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries. \nUnder the heading Actuarial Data Science\, the procedures and methods of data mining are embedded in the actuarial context. These range from mathematics-driven statistical methods for derivation of insights from data to computation-driven methods sometimes summarized as machine learning. As a result of almost unlimited computing capacity through cloud computing and wide availability of training data\, tried and tested methods of machine learning\, such as artificial neural networks\, are experiencing a renaissance in theory and practice. \nThis web session is the second part of a four-part series at the German Actuarial Association (DAV). In this online training\, we will expand on and deepen some of the topics already known from the basic seminar\, discussing further important techniques in the context of deep learning and data storage. It is based on the learning objectives of the DAV for Actuarial Data Science Advanced\, which is part of the actuarial training in Germany.\nAnmeldeschluss: 2026-09-14\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/actuarial-data-science-advanced-e0556/
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-advanced/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261001T084500
DTEND;TZID=Europe/Vienna:20261002T170000
DTSTAMP:20260510T034638
CREATED:20260422T090509Z
LAST-MODIFIED:20260422T090509Z
UID:10000647-1790844300-1790960400@avoe.at
SUMMARY:EAA Seminar in Vilnius 'Advanced Applications of Generative AI in Actuarial Science'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Lietuvos Aktuarų Draugija. \nThe 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 hotel Courtyard Vilnius City Centre (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. \nBy the end of the seminar\, participants will be able to:\n– Understand the foundations of generative AI\, with a focus on how large language models work\, where they add value\, and what risks they introduce (e.g.\, hallucinations\, bias\, data leakage\, overreliance)\n– Decide when GenAI is appropriate and when classical approaches (statistics\, machine learning\, or traditional programming) remain the better choice – based on feasibility\, cost\, explainability\, and operational constraints.\n– Build robust LLM-powered workflows using APIs or local setups\, including function calling/tool use\, structured outputs\, retrieval-augmented generation\, and\, where suitable\, fine-tuning – with attention to traceability and reproducibility.\n– Understand and prototype agentic AI systems\, including key concepts (e.g.\, agents\, orchestration\, tool use)\, practical safeguards\, and realistic use cases in insurance and finance such as assisted analysis\, document workflows\, and reporting.\nAnmeldeschluss: 2026-09-24\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/advanced-applications-of-generative-ai-in-actuarial-science-e0572/
URL:https://avoe.at/event/eaa-seminar-in-vilnius-advanced-applications-of-generative-ai-in-actuarial-science/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261005T093000
DTEND;TZID=Europe/Vienna:20261005T130000
DTSTAMP:20260510T034638
CREATED:20260407T084320Z
LAST-MODIFIED:20260407T084320Z
UID:10000637-1791192600-1791205200@avoe.at
SUMMARY:EAA Web Session 'Climate Change Scenarios: Application\, Evolution\, and Reporting'
DESCRIPTION:Climate Risk scenarios are commonly used in the insurance industry for stress testing\, but interpreting and communicating results is often challenging\, given strong limitations and complex assumptions. This session will provide practical guidance on stress testing application in the ORSA context\, focusing on financial risks\, and provide context and foundations necessary in order to communicate and interpret the results. We will discuss key evolutions in recent years with a particular emphasis on NGFS scenarios and the modelling of physical risks. \nThe session will be based around a case study for a generic insurer\, where we calculate impacts on the insurer’s capital position under different climate change scenarios\, thereby illustrating the practical elements of stress testing. In this context\, we will specifically talk about: Key steps to practical implementation of stress tests\, models for key financial variables relevant for insurance stress testing (e.g. interest rates\, credit spreads)\, NGFS scenarios and their recent evolution\, impact of scenario updates\, modelling of physical risks\, as well as key limitations and considerations for reporting.\nAnmeldeschluss: 2026-10-01\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/climate-change-scenarios-application-evolution-and-reporting-e0573/
URL:https://avoe.at/event/eaa-web-session-climate-change-scenarios-application-evolution-and-reporting-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261008T100000
DTEND;TZID=Europe/Vienna:20261008T120000
DTSTAMP:20260510T034638
CREATED:20260407T082956Z
LAST-MODIFIED:20260407T082956Z
UID:10000635-1791453600-1791460800@avoe.at
SUMMARY:EAA Web Session 'Calculation of Life Insurance Products by Means of Markov Chains'
DESCRIPTION:The calculation of life insurance products is traditionally based on the approach of commutation values\, whose table properties enable extensive actuarial calculations even without large computer capacities. However\, especially for modern and more flexible life insurance tariffs\, the calculation by means of commutation values reaches its limits\, so that the calculation approach based on Markov chains is gaining in importance and has been used for some time in the mathematical cores of new portfolio administration systems. \nThis web session will provide an insight into the calculation of common life insurance products using the Markov approach. For this purpose\, first an overview of the best-selling life insurance products in some European countries and their classic calculation will be given. In the following\, the principle of Markov chains is explained and a model for calculating actuarial values is derived. \nFinally\, the online training also addresses problems that can arise when migrating from classically calculated portfolios to systems with the Markov approach.\nAnmeldeschluss: 2026-10-06\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/calculation-of-life-insurance-products-by-means-of-markov-chains-e0580/#c4838
URL:https://avoe.at/event/eaa-web-session-calculation-of-life-insurance-products-by-means-of-markov-chains-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261009T100000
DTEND;TZID=Europe/Vienna:20261009T120000
DTSTAMP:20260510T034638
CREATED:20260422T085059Z
LAST-MODIFIED:20260422T085059Z
UID:10000645-1791540000-1791547200@avoe.at
SUMMARY:EAA Web Session 'GenAI: Is it all about Attention or also about Predictability?'
DESCRIPTION:Artificial Intelligence is rapidly moving from experimentation to infrastructure in actuarial work. AI systems are beginning to influence decisions that were historically driven by statistical models\, expert judgment\, and regulatory constraints. This session focuses on understanding what is happening under the hood of modern Generative AI systems\, particularly large language models and AI agents. What does “attention” mean in technical terms\, and why is it foundational to how these systems process information? How do agentic systems differ from classical predictive models? And critically for actuarial practice: where does predictability break down? \nWe will examine both the capabilities and the limitations of AI. In domains characterized by uncertainty\, feedback loops\, and human behavior\, no system\, human or machine\, offers perfect foresight. Understanding these boundaries is essential for responsible adoption. The objective is not to replace actuarial judgment\, but to augment it\, while ensuring that humans remain accountable for decisions in high-stakes contexts.\nAnmeldeschluss: 2026-10-07\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/genai-is-it-all-about-attention-or-also-about-predictability-e0581/
URL:https://avoe.at/event/eaa-web-session-genai-is-it-all-about-attention-or-also-about-predictability/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261012T090000
DTEND;TZID=Europe/Vienna:20261013T133000
DTSTAMP:20260510T034638
CREATED:20260407T085023Z
LAST-MODIFIED:20260407T085023Z
UID:10000641-1791795600-1791898200@avoe.at
SUMMARY:EAA Web Session 'From Deep Learning to Transformers: Foundations of Modern LLMs'
DESCRIPTION:Deep learning (DL) pertains to the field of artificial intelligence and is great at extracting and mastering the often highly non linear patterns of a given process\, whatever this process might be. The only main requirement is the availability of a large amount of data that describes the behaviour of the process under different conditions and a truckload of computational power. With data collection becoming cheaper and computational power still following Moore’s law\, fitting DL models that produce extremely useful predictions has become a practical reality. \nWhile this family of models is broad\, one particular architecture has reshaped the field of text analysis: the transformer. Transformers were originally introduced to overcome the limitations of earlier neural networks when dealing with sequential data such as text\, where long range dependencies and contextual meaning matter. Their ability to process entire sequences in parallel and to model relationships between all words at once made them uniquely suited for language tasks. \nLarge Language Models (LLMs) are essentially very large transformer networks trained on massive text corpora. They represent a natural continuation of deep learning\, but with capabilities—reasoning over text\, summarising documents\, generating explanations—that go far beyond what earlier DL architectures could achieve. Understanding LLMs therefore benefits from first understanding the deep learning principles on which they are built.\nAnmeldeschluss: 2026-10-08\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/from-deep-learning-to-transformers-foundations-of-modern-llms-e0578/
URL:https://avoe.at/event/eaa-web-session-from-deep-learning-to-transformers-foundations-of-modern-llms/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261104T090000
DTEND;TZID=Europe/Vienna:20261104T123000
DTSTAMP:20260510T034638
CREATED:20260407T082820Z
LAST-MODIFIED:20260407T082820Z
UID:10000634-1793782800-1793795400@avoe.at
SUMMARY:EAA Web Session 'Special Actuarial Topics in Cyber (Re)Insurance'
DESCRIPTION:In the modern economy\, where many businesses integrally depend on functioning IT systems and digital services\, cyber insurance has emerged as one of the fastest-growing insurance lines. Likewise\, the challenges for actuaries in adequately assessing\, modelling\, pricing\, and managing this complex and ever-evolving risk are manifold. In this session\, we will delve into key aspects of cyber insurance\, extending beyond the basics.\nAnmeldeschluss: 2026-11-02\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/special-actuarial-topics-in-cyber-reinsurance-e0565/
URL:https://avoe.at/event/eaa-web-session-special-actuarial-topics-in-cyber-reinsurance/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261105T093000
DTEND;TZID=Europe/Vienna:20261106T121500
DTSTAMP:20260510T034638
CREATED:20260407T083124Z
LAST-MODIFIED:20260407T083124Z
UID:10000636-1793871000-1793967300@avoe.at
SUMMARY:EAA Web Session 'The ORA under IORP II: From EU Landscape to Board Conclusions'
DESCRIPTION:This web session provides a structured and practical walkthrough of the Own Risk Assessment (ORA) under IORP II. \nWe begin with a concise overview of the European pension landscape and supervisory expectations\, followed by a clear comparison between ORA and ORSA. \nThe core of the session focuses on the practical building blocks of a robust ORA: \nlinking strategy to risk identification\, assessing risk appetite and risk-bearing capacity\, applying scenario analysis\, stress testing and reverse stress testing\, defining management actions and trigger frameworks\nformulating defensible board conclusions \nThe emphasis throughout is on practical implementation and producing ORA outcomes that are coherent\, defensible and aligned with board responsibility.\nAnmeldeschluss: 2026-11-03\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/the-ora-under-iorp-ii-from-eu-landscape-to-board-conclusions-e0571/
URL:https://avoe.at/event/eaa-web-session-the-ora-under-iorp-ii-from-eu-landscape-to-board-conclusions/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261123T083000
DTEND;TZID=Europe/Vienna:20261124T130000
DTSTAMP:20260510T034638
CREATED:20260430T104622Z
LAST-MODIFIED:20260430T104622Z
UID:10000652-1795422600-1795525200@avoe.at
SUMMARY:EAA Web Session 'Open-Source Tools R: Extending the Toolbox of the Actuary'
DESCRIPTION:The goal of this two-day training is to introduce the participants to the R open-source ecosystemand to give them a good understanding of this languages. However\, since both ecosystems are way too vast to be covered in merely two days\, the participants will be asked to go through the basics of both languages themselves\, prior to the web session. During the first web session of each language\, these basics which will be shortly revised\, but at a higher pace. The course material\, containing the basics of both languages\, will be provided by the organizers several weeks before the beginning of the web session\, such that the participants will have plenty of time to go through the material at her/his ease. \nAs such\, less time needs to be spent on the basic elements of both languages\, thereby enabling us to organize the following hands-on exercise session to more easily assimilate the course material. Note that the participants need to bring along a laptop on which R is installed. Instructions on how to do so will be provided by the organizers at the same time as the course material of R basics\, hence several weeks in advance. \nAs a result\, a jump-start on how to truly use these languages in practice will be provided to the participants\, by focusing on solutions for problems that they will surely regularly encounter in their day-to-day job\, by handing over lots of links to online resources and very rich course material and by even organizing hands-on exercise sessions.\nAnmeldeschluss: 2026-11-19\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/open-source-tools-r-extending-the-toolbox-of-the-actuary-e0575/
URL:https://avoe.at/event/eaa-web-session-open-source-tools-r-extending-the-toolbox-of-the-actuary/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261125T090000
DTEND;TZID=Europe/Vienna:20261125T133000
DTSTAMP:20260510T034638
CREATED:20260424T095802Z
LAST-MODIFIED:20260424T095802Z
UID:10000648-1795597200-1795613400@avoe.at
SUMMARY:EAA Web Session 'Stochastic Projection Models in Life Insurance'
DESCRIPTION:With the introduction of new accounting frameworks\, the corresponding alignment of planning and performance management and with the increasing need for sophisticated asset liability management\, the stochastic assessment of risk and value in connection with participating life insurance portfolios has become the industry standard over the last decade. The underlying basis for such an assessment is a cash flow projection model\, simulating the way the life insurance undertaking is working and reflecting it by projecting local GAAP balance sheets and income statements. Due to the complexity associated with such calculations\, simplifications are required especially regarding the modelling of the insurance contracts to meet operational and technical constraints. Therefore\, it has become an area of actuarial research to develop methodologies that allow stochastic cash flow models to achieve results of adequate accuracy based on acceptable run times with affordable IT capabilities.\nAnmeldeschluss: 2026-11-23\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/stochastic-projection-models-in-life-insurance-e0567/
URL:https://avoe.at/event/eaa-web-session-stochastic-projection-models-in-life-insurance-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261127T093000
DTEND;TZID=Europe/Vienna:20261127T141500
DTSTAMP:20260510T034638
CREATED:20260430T110116Z
LAST-MODIFIED:20260430T110116Z
UID:10000656-1795771800-1795788900@avoe.at
SUMMARY:EAA 'From Excel Tariff Calculators to Python — Agentic Edition'
DESCRIPTION:Excel-based tariff calculators remain a cornerstone of actuarial work in life insurance\, and in early 2026 we showed in our first EAA web session ‚From Excel Tariff Calculators to LLM-Powered Python Code‘\, how Large Language Models (LLMs) can help to port them into structured Python code. The feedback was encouraging\, and the field has moved forward quickly since then. Tools have matured\, reasoning quality has improved\, and\, most importantly\, the working practice has shifted from a single actuary prompting an LLM into an orchestrated collaboration between actuary and AI agents. \nThis second edition takes that step forward. Instead of a craftsmanship-style workflow\, we present an industrial\, agent-based pipeline for calculator porting: structured extraction from Excel and VBA\, preparation of actuarial context\, LLM-driven code and test generation\, and built-in quality assurance\, all orchestrated so that the actuary keeps the lead and the LLM handles bounded subtasks autonomously. The pipeline itself has been built inside our DAV working-group context on AI-assisted calculation-engine development. \nParticipants will see the framework in action on a real-life insurance tariff calculator\, from raw Excel input to a ported Python module with a matching test harness. We will not only show the happy path\, but also the places where quality control hooks in\, how disagreements between LLM-generated output and reference values are resolved\, and how the actuary stays firmly accountable for what the pipeline produces. \nThis web session closes with a hands-on exercise in which each participant uses the pipeline to build a test comparison layer for a given piece of ported code. Because the pipeline is already in place\, the LLM focuses narrowly on generating the test framework and the reference calculations needed to validate the port. A well-scoped task that gives participants an immediate\, tangible experience of what agentic actuarial work feels like in practice.\nAnmeldeschluss: 2026-11-25\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/from-excel-tariff-calculators-to-python-agentic-edition-e0583/
URL:https://avoe.at/event/eaa-from-excel-tariff-calculators-to-python-agentic-edition/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261130T083000
DTEND;TZID=Europe/Vienna:20261201T130000
DTSTAMP:20260510T034638
CREATED:20260430T104450Z
LAST-MODIFIED:20260430T104450Z
UID:10000651-1796027400-1796130000@avoe.at
SUMMARY:EAA Web Session 'Open-Source Tools Python: Extending the Toolbox of the Actuary'
DESCRIPTION:The goal of this two half-day training is to introduce the participants to the Python open- source ecosystem and to get a good understanding of the language. However\, the ecosystem is way too vast to be covered in merely two half-days\, the participants will be asked to go through the basics of the language themselves\, prior to the web session. During the first half day of the web session\, these basics which will be shortly revised\, but at a higher pace. The course material\, containing the basics of the language\, will be provided by the organizers several weeks before the beginning of the web session\, such that the participants will have plenty of time to go through the material at her/his ease. \nAs such\, less time needs to be spent on the basic elements of the language\, hereby enabling us to organize a hands-on exercise session to more easily assimilate the course material. Note that the participants need to bring along a laptop on which Python is installed. Instructions on how to do so\, will be provided by the organizers at the same moment as the course material of Python basics\, hence several weeks in advance. \nAs a result\, a jump start on how to truly this language in practice will be provided to the participants\, by focusing on solutions for problems that they will surely regularly encounter in their day-to-day job\, by handing over lots of links to online resources and a very rich course material and by even organizing hands-on exercise sessions.\nAnmeldeschluss: 2026-11-26\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/open-source-tools-python-extending-the-toolbox-of-the-actuary-e0576/
URL:https://avoe.at/event/eaa-web-session-open-source-tools-python-extending-the-toolbox-of-the-actuary/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261202T090000
DTEND;TZID=Europe/Vienna:20261202T123000
DTSTAMP:20260510T034638
CREATED:20260430T105101Z
LAST-MODIFIED:20260430T105101Z
UID:10000654-1796202000-1796214600@avoe.at
SUMMARY:EAA Web Session 'Time Series for Actuarial Modelling with Machine Learning'
DESCRIPTION:Actuaries have long relied on time-tested statistical models to forecast risk. Methods such as ARIMA\, GLMs\, and the Lee–Carter model remain valuable tools\, and in many settings they still perform well. However\, the environment in which actuaries will work is changing. This web session will explore why we are moving beyond these traditional boundaries and how „Actuarial Learning“ is redefining forecasting. \nSteps towards machine learning are driven by the need to handle high-dimensional data and nonlinear patterns that standard regression techniques cannot capture. To bridge this gap\, we first consider ensemble methods\, such as LightGBM\, which outperform traditional actuarial models on complex tasks\, such as predicting flood injuries. \nBeyond ensembling\, deep neural networks offer even stronger representational capacity\, enabling us to model complex interactions directly from raw data. For instance\, while the Lee-Carter model has been the gold standard for mortality forecasting\, it often fails to capture cohort effects and cross-population heterogeneity. By adopting deep learning architectures\, such as Convolutional Neural Networks (CNNs)\, Recurrent Neural Networks (RNNs)\, and Long Short-Term Memory (LSTM) networks\, we can achieve significantly higher predictive accuracy. We will also briefly discuss emerging developments\, such as foundation models\, which enable the use of pre-trained models in actuarial contexts where data may be limited.\nAnmeldeschluss: 2026-11-30\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/time-series-for-actuarial-modelling-with-machine-learning-e0564/
URL:https://avoe.at/event/eaa-web-session-time-series-for-actuarial-modelling-with-machine-learning/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261203T090000
DTEND;TZID=Europe/Vienna:20261203T154500
DTSTAMP:20260510T034638
CREATED:20260430T105215Z
LAST-MODIFIED:20260430T105215Z
UID:10000655-1796288400-1796312700@avoe.at
SUMMARY:EAA Web Session 'CERA\, Module 0: A Refresher Course in Financial Mathematics and Risk Measurement'
DESCRIPTION:The web session ‚A Refresher Course in Financial Mathematics‘ gives an introduction to modern financial mathematics and derivative pricing. It is designed to prepare actuaries without adequate training in these fields for the quantitative parts of the CERA education. The web session is moreover an ideal learning opportunity for actuaries who want to become acquainted with or refresh their knowledge in these highly relevant fields. \nThe online course begins with a repetition of basic concepts in probability theory including characteristics of random variables such as moments and quantiles. In order to prepare the analysis of dynamic financial models we introduce the idea of conditional expectations and we discuss stochastic processes in discrete time. The online session continues with an introduction to financial mathematics. We study risk neutral valuation and the hedging of derivatives in discrete-time models. The last part of the web session is devoted to an introduction to financial mathematics in continuous time. Topics covered include stochastic processes in continuous time such as Brownian motion and the Ito formula\, the Black Scholes model and the Greeks very basic term structure models and the pricing and hedging of simple stock and bond options. The web session consists of lectures interspersed by short exercise sessions where participants can apply the probabilistic techniques hands-on.\nAnmeldeschluss: 2026-12-01\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/cera-0-a-refresher-course-in-financial-mathematics-and-risk-measurement-e0570/
URL:https://avoe.at/event/eaa-web-session-cera-module-0-a-refresher-course-in-financial-mathematics-and-risk-measurement-4/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261208T090000
DTEND;TZID=Europe/Vienna:20261210T140000
DTSTAMP:20260510T034638
CREATED:20260430T104906Z
LAST-MODIFIED:20260430T104906Z
UID:10000653-1796720400-1796911200@avoe.at
SUMMARY:EAA Web Session 'Non-Life Pricing Using Machine Learning Techniques with R Applications'
DESCRIPTION:Non-Life insurance is facing many challenges ranging from fierce competition in the market or evolution in the distribution channel used by consumers to evolution of the regulatory environment. \nPricing is the central link between solvency\, profitability and market shares (volume). Improving pricing practice encompasses several dimensions:\n– 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?\n– 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 terms of pricing? What are the segments in which I am well positioned and the segments where I am not well positioned?\n– Elasticity: what price (evolution) are our existing customers prepared to accept? Does the sensitivity to price evolution depend on the profile of my customer?\n– Segmentation: is our segmentation granular enough for our purposes? \nThe aim of this web session is to present some advanced actuarial techniques used in non-life pricing\, competition analysis and profitability analysis. The web session focuses on some practical problems faced by pricing actuaries and product managers and presents some new techniques used in non-life pricing in order to open new perspectives for product development (competition analysis\, profitability analysis\,…).\nAnmeldeschluss: 2026-12-04\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/non-life-pricing-using-machine-learning-techniques-with-r-applications-e0579/
URL:https://avoe.at/event/eaa-web-session-non-life-pricing-using-machine-learning-techniques-with-r-applications-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
END:VCALENDAR