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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261006T090000
DTEND;TZID=Europe/Vienna:20261007T170000
DTSTAMP:20260703T093738Z
CREATED:20260703T093738Z
LAST-MODIFIED:20260703T093738Z
UID:10000669-1791277200-1791392400@avoe.at
SUMMARY:EAA Web Session 'Fit4AI compact' on 6/7 October 2026
DESCRIPTION:The two-day online web session is aimed at actuaries interested in getting started in the broad field of artificial intelligence. 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.
URL:https://avoe.at/event/eaa-web-session-fit4ai-compact-on-6-7-october-2026/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261008T100000
DTEND;TZID=Europe/Vienna:20261008T120000
DTSTAMP:20260630T153330Z
CREATED:20260407T082956Z
LAST-MODIFIED:20260630T153330Z
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:20260630T152828Z
CREATED:20260422T085059Z
LAST-MODIFIED:20260630T152828Z
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:20261014T090000
DTEND;TZID=Europe/Vienna:20261016T123000
DTSTAMP:20260703T091727Z
CREATED:20260703T091727Z
LAST-MODIFIED:20260703T091727Z
UID:10000668-1791968400-1792153800@avoe.at
SUMMARY:EAA Web Session 'Assets and Liabilities Management Part 1: Introduction'
DESCRIPTION:The aim of this training is to \nDefine what ALM is and describe the typical missions of an ALM department in an insurance company\nPresent the financial risks on which ALM classically focus as well as the requirements of the Solvency II regulation for insurance companies\nDescribe the essential quantitative ALM tools and methods used by insurance companies to evaluate and mitigate the risks\nIllustrate the different concepts through numerical examples and case studies to make it practical and not just theoretical
URL:https://avoe.at/event/eaa-web-session-assets-and-liabilities-management-part-1-introduction-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261021T090000
DTEND;TZID=Europe/Vienna:20261021T121500
DTSTAMP:20260703T090725Z
CREATED:20260703T090725Z
LAST-MODIFIED:20260703T090725Z
UID:10000666-1792573200-1792584900@avoe.at
SUMMARY:EAA Web Session 'Solvency and IRRD: Changes in Supervision as of 2027'
DESCRIPTION:The current Solvency II regulation will apply for the last time to the 2026 financial year. From 30 January 2027\, not only will an amended Solvency II framework enter into force\, but the Insurance Recovery and Resolution Directive (IRRD) will also become applicable. \nCurrently the supervisory authority is responsible for the (microprudential) supervision of insurance undertakings. The new regulatory system requires the establishment of a resolution authority (IRRD) and the designation of a body or an authority with a macroprudential mandate. Furthermore\, the Commission is considering the introduction of minimum harmonised Insurance Guarantee Schemes (IGS). \nAgainst this background\, knowledge of the pertinent amendments to Solvency II\, the relevant provision of the IRRD and the considerations regarding IGS is a prerequisite for assessing their potential impact on undertakings. \nIt is important to consider the regulatory changes not in isolation\, but in relation to one another. For example\, the rules governing the transition of responsibility from the supervisor to the resolution authority\, as well as the possible role of IGS in resolution processes require thorough analysis. Possible overlaps and interactions will therefore be identified and discussed. The inclusion of IGS in resolution processes will also be considered. \nThe tasks of actuaries and risk managers will be considerably affected by these changes. This web session will deal with the following topics: \nAmendments to the SII framework\nIRRD and related technical standards and guidelines\nPotential changes related to IGS
URL:https://avoe.at/event/eaa-web-session-solvency-and-irrd-changes-in-supervision-as-of-2027/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261104T090000
DTEND;TZID=Europe/Vienna:20261104T123000
DTSTAMP:20260612T140807Z
CREATED:20260407T082820Z
LAST-MODIFIED:20260612T140807Z
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:20260612T140505Z
CREATED:20260407T083124Z
LAST-MODIFIED:20260612T140505Z
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:20261111T100000
DTEND;TZID=Europe/Vienna:20261111T120000
DTSTAMP:20260717T160922Z
CREATED:20260717T160922Z
LAST-MODIFIED:20260717T160922Z
UID:10000675-1794391200-1794398400@avoe.at
SUMMARY:Professional Judgment and its Relevance for Solvency II and IRRD
DESCRIPTION:The amended Solvency II and the IRRD (Insurance Recovery and Resolution Directive) will become applicable as of 30 January 2027. They will extend the scope of actuarial work considerably.\nWhile basic actuarial tasks remain unchanged\, additional requirements will need the involvement of actuaries.  The choice of appropriate scenarios for the medium- and long-term analysis of e.g. climate and sustainability risks and macroprudential concerns will constitute a new challenge. The determination of assumptions and methodologies used to model development over time horizons of more than 15 years requires a deep knowledge of undertaking’s business and strategy. Adhering to established professional standards can improve quality and increase the reliability of the outcomes. \nProfessional judgment by actuaries has been addressed in Actuarial Notes published by the Actuarial Association of Europe (AAE) in 2022 and the International Actuarial Association (IAA) in 2025.  Both documents aim to clarify the difference between expert judgment and the professional judgment exercised by actuaries. \nExpert judgment is based on specific training\, knowledge\, experience and expertise. In addition\, professional judgment has to take into account standards of professionalism\, including the profession’s Code of Conduct. An actuary is thus bound by standards set by the actuarial profession which encompass also ethical principles. \nBesides presenting an overview of these Actuarial Notes\, this web session aims to illustrate where professional judgment is required under Solvency II and the IRRD and how it can substantiate management decisions. \n\nProfessional judgment – overview of the Actuarial Notes\n“Current” requirements related to the calculation of technical provisions and the SCR\nChoice and analysis of appropriate scenarios
URL:https://avoe.at/event/professional-judgment-and-its-relevance-for-solvency-ii-and-irrd/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261112T090000
DTEND;TZID=Europe/Vienna:20261112T123000
DTSTAMP:20260703T103733Z
CREATED:20260703T103733Z
LAST-MODIFIED:20260703T103733Z
UID:10000672-1794474000-1794486600@avoe.at
SUMMARY:EAA Web Session 'IFRS 17: Identification of Insurance Revenue'
DESCRIPTION:The main improvement in insurance accounting under IFRS 17 was to align the income statement with modern accounting principles. IFRS 17 requires differentiation between movements of the insurance contract liability that represent earnings received for providing services and are presented as insurance revenue\, expenses resulting from the provision of services\, and insurance finance income or expense resulting from financial activities and other movements\, that do not qualify to be presented in the income statement\, particularly\, premiums received and repayments of amounts received. Traditional accounting often presented only the net movement of insurance contract liabilities\, premiums received\, and costs and benefits paid in the income statement\, without allowing users of the report to understand the sources of the profits remaining. \nActuaries need to categorise the movement of the insurance contract liability in accordance with the accounting concept of revenue. The purpose of the online seminar is to discuss the accounting concepts of the income statement for identifying the elements of the insurance contract liability movements.
URL:https://avoe.at/event/eaa-web-session-ifrs-17-identification-of-insurance-revenue/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261113T090000
DTEND;TZID=Europe/Vienna:20261113T133000
DTSTAMP:20260612T135817Z
CREATED:20260422T090324Z
LAST-MODIFIED:20260612T135817Z
UID:10000646-1794560400-1794576600@avoe.at
SUMMARY:EAA Web Session 'Prospecting Health Similar to Life: Concepts\, Techniques and Cases'
DESCRIPTION:The goal of this web session is to provide a comprehensive explication of the actuarial methods in Health SLT insurance which are commonly used in European jurisdictions. Case studies are presented to introduce some recent developments in the design of life-long health covers. \nBy the end of the online training\, participants will have an understanding about the actuarial means and ends of long-term Health insurance and its contribution to the financing of health services for an ageing population.\nAnmeldeschluss: 2026-11-11\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/prospecting-health-similar-to-life-concepts-techniques-and-cases-e0582/
URL:https://avoe.at/event/eaa-web-session-prospecting-health-similar-to-life-concepts-techniques-and-cases/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261119T100000
DTEND;TZID=Europe/Vienna:20261119T120000
DTSTAMP:20260703T100534Z
CREATED:20260703T100534Z
LAST-MODIFIED:20260703T100534Z
UID:10000670-1795082400-1795089600@avoe.at
SUMMARY:EAA Web Session 'IFRS 17 Risk Adjustment: Practical Approaches & Lessons Learned'
DESCRIPTION:The session aims to provide participants with a comprehensive introduction regarding the risk adjustment concept under IFRS 17. We will shed light on the general concepts behind risk adjustment and its application within IFRS 17 and illustrate the importance of risk adjustment in measuring\, presenting\, and disclosing insurance contracts. \nThe online training will also provide insights into the most commonly used practical methodical concepts. Practical examples and case studies will be used to illustrate the application of risk adjustment within the IFRS 17 framework.\nIn addition\, insights into emerging market views will be shared\, and participants will have the opportunity to discuss these topics. Challenges and considerations specific to the European markets will also be discussed.\nBy formulating the points in this way\, participants will gain a clear understanding of the objectives of the training and how it will assist them in navigating the complexities of risk adjustment within the IFRS 17 framework.
URL:https://avoe.at/event/eaa-web-session-ifrs-17-risk-adjustment-practical-approaches-lessons-learned-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261123T083000
DTEND;TZID=Europe/Vienna:20261124T130000
DTSTAMP:20260630T153228Z
CREATED:20260430T104622Z
LAST-MODIFIED:20260630T153228Z
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:20260612T135751Z
CREATED:20260424T095802Z
LAST-MODIFIED:20260612T135751Z
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:20261126T090000
DTEND;TZID=Europe/Vienna:20261126T121500
DTSTAMP:20260703T104239Z
CREATED:20260703T104239Z
LAST-MODIFIED:20260703T104239Z
UID:10000673-1795683600-1795695300@avoe.at
SUMMARY:EAA Web Session 'Measuring Intergenerational Fairness and Pensions'
DESCRIPTION:The aim of the web session is to provide pension actuaries and other interested experts with an overview of topics and methods in relation to the discussion of intergenerational fairness. This web session continues the first session in October 2025 and now dives deeper into actuarial modelling. \nFirst\, we will briefly introduce the concept of intergenerational fairness for those who couldn’t attend last October. This means that this session is generally open to all interested participants. According to the equity concept\, similar careers should result in similar benefits\, or even the value of the benefits should be equal to the contributions. From a different perspective\, insured persons should get their (socially) agreed level of pensions over long periods under the same conditions\, and even socially agreed needs also should be financed from the fund. These approaches lead to different conclusions from actuarial fairness to social fairness. \nBoth approaches represent the benefit adequacy aspect of pensions. Next\, we deal with real life issues\, where the financial sustainability of the pension systems is the hard limit for delivering pensions. At this layer external factors\, like economic and demographic developments and\, not independently\, investment conditions matter. In case of funded pensions financial sustainability translates into funding and cost issues. Modelling pension systems is making assumptions about economic and demographic parameters. \nThe adequacy and sustainability objectives are contradictory by definition\, and we must balance between them. Socio-economic groups embrace this duality of the problem. First\, we discuss the traditional deterministic and stochastic or pricing model approaches. Next a generalized approach will be introduced […].
URL:https://avoe.at/event/eaa-web-session-measuring-intergenerational-fairness-and-pensions/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261127T093000
DTEND;TZID=Europe/Vienna:20261127T141500
DTSTAMP:20260630T152523Z
CREATED:20260430T110116Z
LAST-MODIFIED:20260630T152523Z
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:20260630T152701Z
CREATED:20260430T104450Z
LAST-MODIFIED:20260630T152701Z
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:20260630T153046Z
CREATED:20260430T105101Z
LAST-MODIFIED:20260630T153046Z
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:20260612T141059Z
CREATED:20260430T105215Z
LAST-MODIFIED:20260612T141059Z
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:20261203T093000
DTEND;TZID=Europe/Vienna:20261203T124000
DTSTAMP:20260909T091843Z
CREATED:20260909T091843Z
LAST-MODIFIED:20260909T091843Z
UID:10000691-1796290200-1796301600@avoe.at
SUMMARY:Solvency II Review – a Practical Case
DESCRIPTION:The amended Solvency II Directive entered into force on 28 January 2025 and will apply from 30 January 2027 following national transposition. The Solvency II reporting as of the first quarter of 2027 will be under the new framework. \nThis session will provide a thorough understanding of the key changes on pillar 1 by illustrating the impact of each component on a fictive insurer in a dedicated template. Possible optimizations will be illustrated. \nThe objective of this web session is to allow the participants involved in Solvency II work to experience some key changes being introduced by the Solvency II Review through a practical case study. We will make this section interactive by virtue of breakout discussions and polls\, so that the participants can also actively share their views and experiences.
URL:https://avoe.at/event/solvency-ii-review-a-practical-case-2/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261207T090000
DTEND;TZID=Europe/Vienna:20261207T120000
DTSTAMP:20260907T134550Z
CREATED:20260907T134550Z
LAST-MODIFIED:20260907T134550Z
UID:10000687-1796634000-1796644800@avoe.at
SUMMARY:GenAI Beyond the Basics: Advanced Concepts for Actuaries
DESCRIPTION:Generative AI (GenAI) tools such as ChatGPT are rapidly reshaping how actuaries approach problem-solving\, analysis\, and communication. Beyond their familiar chat interfaces\, these tools offer far more powerful capabilities through programmatic access\, allowing users to interact directly with the underlying Large Language Models (LLMs) via APIs (Application Programming Interfaces). Compared with manual\, web-based use\, API access lets actuaries embed GenAI seamlessly into their existing workflows\, process larger volumes of data\, and automate repetitive tasks at scale. In this three-hour web session\, participants will follow live demonstrations of advanced GenAI concepts in a Jupyter notebook that introduces each concept and applies it to a concrete actuarial use case. The notebook will be shared with all attendees to encourage experimentation and support adoption in their own work. \nAfter a foundations-and-best-practices block that covers how to access LLMs both through cloud APIs and locally via Ollama\, together with practical prompt-engineering techniques\, we will explore the following advanced GenAI concepts: \n\nStructured Outputs: Generating responses in structured formats like JSON to support easier and more reliable downstream processing.\nFunction Calling: Enabling LLMs to execute predefined functions\, such as calculations or database queries\, to perform specific operations.\nFine-Tuning: Customizing pretrained LLMs with domain-specific data to improve accuracy and relevance in generating responses.\nRetrieval-Augmented Generation (RAG): Combining LLMs with external data sources to produce contextually enriched outputs.\n\nThe session then closes with a dedicated introduction to Agentic AI\, showing how a single LLM can be turned into an autonomous\, tool-using agent and how several such agents can be orchestrated as a multi-agent system that collaborates to automate complex\, multi-step actuarial workflows.\nFor each concept\, the session will explain its purpose and underlying principles\, demonstrate it through a dedicated actuarial use case\, and point to further applications and resources. It will conclude with a forward-looking outlook on emerging developments\, followed by an open Q&A and discussion.
URL:https://avoe.at/event/genai-beyond-the-basics-advanced-concepts-for-actuaries/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261207T090000
DTEND;TZID=Europe/Vienna:20261207T120000
DTSTAMP:20260909T085508Z
CREATED:20260909T085508Z
LAST-MODIFIED:20260909T085508Z
UID:10000688-1796634000-1796644800@avoe.at
SUMMARY:GenAI Beyond the Basics: Advanced Concepts for Actuaries
DESCRIPTION:Generative AI (GenAI) tools such as ChatGPT are rapidly reshaping how actuaries approach problem-solving\, analysis\, and communication. Beyond their familiar chat interfaces\, these tools offer far more powerful capabilities through programmatic access\, allowing users to interact directly with the underlying Large Language Models (LLMs) via APIs (Application Programming Interfaces). Compared with manual\, web-based use\, API access lets actuaries embed GenAI seamlessly into their existing workflows\, process larger volumes of data\, and automate repetitive tasks at scale. In this three-hour web session\, participants will follow live demonstrations of advanced GenAI concepts in a Jupyter notebook that introduces each concept and applies it to a concrete actuarial use case. The notebook will be shared with all attendees to encourage experimentation and support adoption in their own work. \nAfter a foundations-and-best-practices block that covers how to access LLMs both through cloud APIs and locally via Ollama\, together with practical prompt-engineering techniques\, we will explore the following advanced GenAI concepts: \n\nStructured Outputs: Generating responses in structured formats like JSON to support easier and more reliable downstream processing.\nFunction Calling: Enabling LLMs to execute predefined functions\, such as calculations or database queries\, to perform specific operations.\nFine-Tuning: Customizing pretrained LLMs with domain-specific data to improve accuracy and relevance in generating responses.\nRetrieval-Augmented Generation (RAG): Combining LLMs with external data sources to produce contextually enriched outputs.\n\nThe session then closes with a dedicated introduction to Agentic AI\, showing how a single LLM can be turned into an autonomous\, tool-using agent and how several such agents can be orchestrated as a multi-agent system that collaborates to automate complex\, multi-step actuarial workflows.\nFor each concept\, the session will explain its purpose and underlying principles\, demonstrate it through a dedicated actuarial use case\, and point to further applications and resources. It will conclude with a forward-looking outlook on emerging developments\, followed by an open Q&A and discussion. \nThe aim of this web session is to equip participants with the knowledge and practical skills needed to apply advanced GenAI concepts in actuarial contexts. By the end of the session\, participants will be able to: \n\nUnderstand how to interact with LLMs programmatically through APIs.\nRun open-weights LLMs locally via Ollama and weigh the trade-offs between local and cloud deployment.\nApply Python programming skills to develop and integrate GenAI-powered solutions into actuarial workflows.\nApply prompt-engineering best practices\, such as few-shot prompting\, chain-of-thought reasoning\, and clear role and\noutput-format instructions\, to obtain reliable and reproducible results.\nGenerate structured outputs in JSON format to ensure compatibility of the responses with actuarial processes and systems.\nLeverage Function Calling capabilities to trigger the execution of predefined functions in the underlying programming language\, such as calculations or database queries.\nCustomize LLMs using fine-tuning techniques to address domain-specific requirements.\nCombine external data with LLMs through Retrieval-Augmented Generation to produce contextually relevant outputs.\nBuild agentic AI solutions\, including multi-agent systems in which several specialized agents collaborate to automate complex\, multi-step actuarial tasks.\n\nBy balancing conceptual understanding with hands-on programming\, the session gives participants practical tools to enhance the accuracy\, efficiency\, and creativity of their actuarial work.
URL:https://avoe.at/event/genai-beyond-the-basics-advanced-concepts-for-actuaries-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261208T090000
DTEND;TZID=Europe/Vienna:20261210T140000
DTSTAMP:20260630T152934Z
CREATED:20260430T104906Z
LAST-MODIFIED:20260630T152934Z
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
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261211T090000
DTEND;TZID=Europe/Vienna:20261211T121500
DTSTAMP:20260703T103536Z
CREATED:20260703T103536Z
LAST-MODIFIED:20260703T103536Z
UID:10000671-1796979600-1796991300@avoe.at
SUMMARY:EAA Web Session 'Building Experience Mortality Tables – Practical Aspects'
DESCRIPTION:In life and protection insurance\, accurately assessing mortality is a cornerstone of pricing\, reserving\, and risk management. Standard mortality tables provide a useful benchmark but often fail to reflect the specific characteristics of an insurer’s portfolio. As a result\, insurers increasingly rely on experience-based mortality tables to better capture their own risk profile. \nHowever\, building such tables involves significant challenges\, including data quality\, statistical credibility\, segmentation choices\, smoothing techniques\, and methodological assumptions. \nThis web session provides a practical and structured approach to constructing experience-based mortality tables\, combining actuarial theory with real-world insights applicable across different markets.
URL:https://avoe.at/event/eaa-web-session-building-experience-mortality-tables-practical-aspects/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261214T093000
DTEND;TZID=Europe/Vienna:20261214T130000
DTSTAMP:20260909T085728Z
CREATED:20260909T085728Z
LAST-MODIFIED:20260909T085728Z
UID:10000689-1797240600-1797253200@avoe.at
SUMMARY:Agentic AI for Actuaries: Practical Use Cases with Claude Code
DESCRIPTION:Actuarial work is full of tasks that are technically routine but stubbornly manual: rebuilding a Solvency II balance sheet\, regenerating year-end reporting and QRTs\, reconciling a cashflow model against the numbers it is supposed to reproduce\, refreshing an MI dashboard\, or standing up a small tool to answer a one-off question from the business. Each is individually straightforward\, yet together they consume a large share of an actuary’s time and are a recurring source of key-person and spreadsheet risk. \nAgentic AI describes an emerging class of coding tools that do more than answer questions. Rather than returning a snippet to paste\, an agentic tool reads your files\, writes and runs code\, inspects the output\, and iterates towards a working result under your direction. Used well\, it lets an actuary automate genuinely complex workflows – end-to-end reporting\, model reconciliation\, assumption-setting\, validation harnesses\, model and process documentation\, and internal tools – without a dedicated software-engineering team. This session uses Claude Code\, one example of this class of tools\, to demonstrate the ideas throughout; the principles transfer to comparable agentic tools. \nAll examples are illustrative and deliberately generic – the focus is on the techniques and the working method\, not on any organisation’s proprietary models\, data or results. The emphasis throughout is practical and honest – what works\, what does not\, and how to keep agentic AI safe\, validated and defensible in a regulated actuarial setting. \nAfter this web session\, participants will be able to: \n\nExplain what agentic AI coding tools such as Claude Code are\, and how they differ from general-purpose chatbots.\nIdentify actuarial workflows – reporting\, reconciliation\, modelling\, assumption-setting and internal tooling – that are strong candidates for this kind of automation.\nFollow a repeatable pattern for scoping a task\, directing the tool\, and reviewing its work.\nUse the tool to generate and maintain model and process documentation that stays in step with the underlying code and satisfies Solvency II evidence requirements.\nApply validation and governance techniques (fail-closed checks\, reconciliation to a trusted source\, golden-master tests\, documentation) so that AI-assisted work is safe and defensible.\nRecognise the limitations and risks – model risk\, key-person risk\, professional and regulatory responsibility – and judge where agentic AI is and is not appropriate.\n\nThe approach is applied and example-led\, grounded in real actuarial applications. Demonstrations are kept short and purposeful – each chosen to illustrate a specific Claude Code capability in a couple of minutes – and any longer-running task is shown through its prepared inputs and results rather than by watching the tool work\, so the session keeps moving. Throughout there is candid discussion of what works\, what does not\, and the pitfalls to avoid. No prior software-development experience is required\, though familiarity with actuarial modelling will help participants get the most from the session.
URL:https://avoe.at/event/agentic-ai-for-actuaries-practical-use-cases-with-claude-code/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270212T093000
DTEND;TZID=Europe/Vienna:20270212T130000
DTSTAMP:20260910T084841Z
CREATED:20260910T084841Z
LAST-MODIFIED:20260910T084841Z
UID:10000695-1802424600-1802437200@avoe.at
SUMMARY:Tail Risk Measurement: Estimation\, Sensitivity\, Uncertainty
DESCRIPTION:Regulatory frameworks such as Solvency II require non-life insurers to quantify extreme risks — most notably the 99.5% Value-at-Risk over a one-year horizon for the Solvency Capital Requirement (SCR). In practice\, however\, this poses a fundamental challenge: historical loss data contains little to no information about such rare events\, making direct estimation inherently unreliable. \nThis web session addresses exactly this gap. It provides participants with a structured and practical toolkit to estimate high-confidence risk measures from limited data — and\, crucially\, to understand and communicate the uncertainty involved\, enabling more robust risk quantification\, particularly in contexts such as SCR validation and ORSA. \nStarting with classical parametric approaches and kernel density estimation\, the course progresses to Extreme Value Theory (EVT)\, with a focus on the Peaks-over-Threshold (POT) method and the Generalised Pareto Distribution (GPD). Particular attention is given to threshold selection and to Bayesian formulations in which the threshold is treated as an uncertain parameter\, enabling posterior-predictive inference for high quantiles. We also consider flexible bulk-tail mixture models that combine non-parametric bulk estimation with an EVT-based tail component. \nFor each method\, the course takes a structured perspective across four dimensions: \n\nthe point estimator and its finite-sample properties\,\nparameter uncertainty and confidence intervals\,\nsensitivity to modelling assumptions\, and\noverall model uncertainty.\n\nFinally\, we connect tail risk modelling to practical risk steering by linking estimated risk measures to capital allocation via the Euler (gradient) principle\, enabling a decomposition into marginal risk contributions across business units or risk types. \nFor the core methods\, participants apply estimation procedures in hands-on R exercises using real non-life insurance loss data\, developing both technical proficiency and the critical judgement required to interpret results. \nThe course provides a critical overview of methods for estimating tail risk at high confidence levels under real-world data constraints\, examining where and why they differ in their conclusions. \nR exercises on real non-life insurance data illustrate the methods in practice\, with particular attention to the interpretation and limitations of the resulting estimates.
URL:https://avoe.at/event/tail-risk-measurement-estimation-sensitivity-uncertainty/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270215T090000
DTEND;TZID=Europe/Vienna:20270218T143000
DTSTAMP:20260910T085716Z
CREATED:20260910T085716Z
LAST-MODIFIED:20260910T085716Z
UID:10000696-1802682000-1802961000@avoe.at
SUMMARY:CERA\, Module A: Quantitative Methods of ERM
DESCRIPTION:The 4-day web session assists actuaries in broadening their knowledge about modern quantitative financial and actuarial modelling; these topics form an essential part of the CERA syllabus. At the beginning of the online training we give a brief overview of the EAA-route to the CERA designation. The core part of the web session begins with an introduction to the modern theory of risk measures. Next\, a number of statistical techniques are discussed\, that are highly relevant for the analysis of actuarial and financial data and for the model-building process in risk management. Among others\, we will consider extreme value theory\, dependence modelling\, copulas\, and various aspects of integrated risk management. The training continues with an introduction to the modelling and the management of interest rate and credit risk. In particular\, participants will learn how to price simple interest options or Credit Default Swaps\, how to account for counterparty risk and how to deal with credit portfolio risk. \nThe web session consists of lectures and exercise sessions. In fact\, exercise sessions\, where various exercises and supplementary examples are discussed\, form an integral part of the seminar: they help the participants to understand the qualitative and quantitative techniques introduced in the lectures\, and they are a key element in the preparation for the CERA exam.
URL:https://avoe.at/event/cera-module-a-quantitative-methods-of-erm-2/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270222T090000
DTEND;TZID=Europe/Vienna:20270224T170000
DTSTAMP:20260930T085018Z
CREATED:20260930T085018Z
LAST-MODIFIED:20260930T085018Z
UID:10000702-1803286800-1803488400@avoe.at
SUMMARY:EAA Web Session 'Actuarial Data Science - Basic'
DESCRIPTION: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 three-day web session\, 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 web session rounds off with principles for the ethical handling of artificial intelligence in the insurance environment.\nAnmeldeschluss: 2027-02-18\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/actuarial-data-science-basic-e0605/
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-basic-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270225T090000
DTEND;TZID=Europe/Vienna:20270226T170000
DTSTAMP:20260910T090310Z
CREATED:20260910T090310Z
LAST-MODIFIED:20260910T090310Z
UID:10000697-1803546000-1803661200@avoe.at
SUMMARY:CERA\, Module C: Processes in ERM
DESCRIPTION:This module deals with the challenges of implementing ERM Processes. It includes requirements on ERM Processes and the discussion of best practices. It will be presented how to define an organisation’s risk strategy\, risk appetite\, risk tolerances and limits. We discuss how business strategy influences risk strategy and show their necessary interaction. We demonstrate the close relationship between ERM and Value and Risk Based Management and show how financial and other risks influence the selection of strategy. We show how ERM can be appropriately imbedded in an entity’s strategic planning and discuss the Own Risk and Solvency Assessment. We present the application of an internal risk control process. In the context of ERM reports to different stakeholders are required (management\, supervisory body\, regulators\, public disclosure). We give an overview of the different reports and the main contents. Further we show examples of communication processes in the context of ERM. During the web session we present case studies to discuss the main subjects.
URL:https://avoe.at/event/cera-module-c-processes-in-erm/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270301T080000
DTEND;TZID=Europe/Vienna:20270302T163000
DTSTAMP:20260910T090544Z
CREATED:20260910T090544Z
LAST-MODIFIED:20260910T090544Z
UID:10000698-1803888000-1804005000@avoe.at
SUMMARY:CERA\, Module D: ERM – Economic Capital
DESCRIPTION:The present training is concerned with the question of economic capital in corporate management. \nKey aspects are: \n\neconomic valuation and performance\neconomic steering\nkey performance indicators\nvalue based management\n\nA simplified case study for a life insurer shows in a nutshell the central aspects of corporate management in practice. The course consists of lectures and workshops. Participants are encouraged to bring their own topics to discussion.
URL:https://avoe.at/event/cera-module-d-erm-economic-capital/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270303T090000
DTEND;TZID=Europe/Vienna:20270303T134000
DTSTAMP:20260909T095511Z
CREATED:20260909T095511Z
LAST-MODIFIED:20260909T095511Z
UID:10000693-1804064400-1804081200@avoe.at
SUMMARY:The Pricing-Reserving Bridge: Portfolio Management in Practice
DESCRIPTION:In commercial insurance\, pricing and reserving are often treated as separate disciplines – different teams\, different tools\, different cycles. Yet they are two lenses on the same portfolio. When they operate in isolation\, they might give conflicting messages to underwriting and management\, resulting in portfolio mismanagement. \nIndividual risk pricing\, as sophisticated as it has become\, is no longer sufficient on its own. In a world where risks correlate more strongly than ever\, accumulations are harder to detect\, and decisions need to be made faster\, actuaries need to think and act at portfolio level\, not just risk by risk. \nTo address this challenge\, the web session introduces a Portfolio Management Framework that bridges pricing and reserving within a single operating model. The framework consists of four layers: Insight\, Steering\, Execution and Feedback. The session provides a detailed view of each layer\, as well as practical implementation tips within the organisation. \nA key element of the session is the hands-on case study\, which allows participants to apply the framework to a realistic commercial insurance portfolio. Participants will be asked to analyze the portfolio\, assess its alignment with the strategic goals\, develop a tiering structure and produce summary recommendations on portfolio steering. The follow-up debrief will explore divergent approaches and highlight key differences and practical takeaways. \nUsage of AI tools is explicitly encouraged throughout the case study. \nThe session closes with a forward-looking discussion on how AI is reshaping each layer of the framework\, accelerating anomaly detection\, improving strategy calibration\, and enabling real-time monitoring while keeping the actuary’s judgment and accountability central. \nAfter this web session\, participants will be able to: \n\nExplain why portfolio-level thinking is a necessary complement to individual risk pricing in commercial insurance\nApply the four-layer Portfolio Management Framework (Insight\, Steering\, Execution and Feedback) as an operational tool\nConduct a structured portfolio profitability assessment\nDefine concrete steering parameters and guardrails for portfolio segments\nIdentify where AI tools can augment actuarial portfolio management and where human judgment remains essential\n\nThe session takes a practical approach by combining conceptual instruction with a hands-on case study. Participants actively work through a realistic commercial lines portfolio scenario\, using AI tools of their choice\, and produce a short ExCo presentation pack as the deliverable. The debrief explores divergent approaches and highlights practical implementation insights.
URL:https://avoe.at/event/the-pricing-reserving-bridge-portfolio-management-in-practice/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
END:VCALENDAR