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Ready for 2025? Discover Our Upcoming Trainings!

 
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­ EAA Newsletter ­
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­ Explore Our Latest Training Opportunities ­
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­ A new year brings new opportunities for your professional development. Start 2025 by exploring the latest EAA training sessions, designed to help you stay current in the ever-evolving actuarial landscape. With a range of web sessions and seminars, our program offers valuable chances to expand your expertise and fulfill your CPD requirements.

Take a moment to explore our newly released trainings and plan your next steps. Let's make this year one of continued learning and valuable insights!
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Web Session
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GenAI Beyond the Basics: Advanced Concepts for Actuaries
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7 May 2025
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The aim of this web session is to provide participants with the knowledge and practical skills needed to apply advanced GenAI techniques in actuarial contexts. By the end of the session, participants will be able to:
  • Understand how to interact with GenAI tools programmatically through APIs.
  • Customize LLMs using Fine-Tuning techniques to address domain-specific requirements.
  • Combine external data with LLMs through Retrieval-Augmented Generation to produce contextually relevant outputs.
  • Leverage Function Calling capabilities to trigger the execution of predefined functions in the underlying programming language, such as calculations or database queries.
  • Generate structured outputs in formats like JSON or tables to ensure compatibility with actuarial processes and systems.
  • Apply Python programming skills to develop and integrate GenAI-powered solutions into actuarial workflows.

This session strikes a balance between theory and practical programming, equipping participants with tools to enhance the accuracy, efficiency, and creativity of their actuarial work.

further details

 

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Web Session
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Explainable AI for Actuaries: Concepts, Techniques & Case Studies
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27/28 May 2025
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By the end of the web session, participants will leave with a toolkit of explainability techniques, an in-depth understanding of model interpretability, and the ability to use XAI approaches in practical actuarial applications.

Participants will also understand mathematical principles behind key XAI techniques, evaluate the strengths and limitations of XAI methods, run a machine learning workflow that incorporates XAI techniques, and analyse and interpret results in the context of actuarial cases.

Please find the topics of the session below:
Tuesday, 27 May 2025
  • Understanding explainable AI: Discussions for actuaries
  • An Introduction to Variable Importance Methods
Wednesday, 28 May 2025
  • A Selection of Explainable AI Techniques
  • Applying Explainable AI: Interactive Actuarial Case Studies

further details
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Web Session
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IDD and POG Requirements from an Actuarial Perspective
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2 June 2025
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The aim of this web session is to provide the audience with an overview of the key requirements of IDD first, and then to explain in more detail the regulatory requirements for the product oversight and governance rules and their integration into the business organization of insurance undertakings. The focus is on the extended requirements compared to the product approval process before IDD and their impact on the activity profile of actuaries involved. In addition, interfaces with the EU regulation on environmental, social and governance (ESG) and the EIOPA methodology for assessing value for money are pointed out at the relevant stages in the process.

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Seminar
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Python for Actuaries
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5/6 June 2025 in Vienna
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Organised by the EAA - European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ).

As the actuarial field evolves with technology, learning Python has become increasingly important. Python is a versatile programming language that enables actuaries to efficiently handle large datasets, perform complex statistical analyses, and apply machine learning techniques. Whether you are working with pricing models, risk assessments, or data visualization, Python can significantly enhance your productivity and decision-making.
In this seminar, we will cover:
  1. Python Basics: An introduction to Python programming, focusing on data structures and fundamental syntax.
  2. Data Manipulation: Working with datasets using Pandas for data cleaning and transformation.
  3. Data Visualization: Creating insightful charts and graphs using Matplotlib and Seaborn.
  4. Machine Learning: Applying basic machine learning models to actuarial data.
This seminar is designed to give you hands-on experience and practical knowledge of how Python can be a valuable tool in your day-to-day work.

further details
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Web Session
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Third-Party Risk Management: Managing External Service Providers
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23 June 2025
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The nature of the risk management program in outsourcing lies in establishing a comprehensive framework to identify, assess, mitigate, and monitor risks associated with service outsourcing, safeguarding the organization's interests. Its purpose is to ensure operational continuity, regulatory compliance, and the quality of outsourced services while minimizing negative financial, legal, reputational, or security impacts. The objectives are to identify inherent risks, evaluate and select reliable providers, effectively manage contracts, monitor performance through key indicators, ensure regulatory compliance, and strengthen cybersecurity, fostering a strategic relationship with providers to enable proactive and resilient management.

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­ Further Trainings ­
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­ 22 January 2025
Volatility Adjustment under Solvency II
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23 January 2025
Worldwide Mortality: From Historical Trends to Future Projections
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27 January 2025
Demand Modelling, Price Optimisation - Techniques, Ethics, Impact
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28 January 2025
A Machine Learning Approach to Best Estimate Assumption Setting: Life Insurance Case Study
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29 January 2025
Adding Value Through Risk Measurement: Capital Allocation & Beyond
further details

30 January 2025
Discovering Data Science
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3 February 2025
Modern Financial Simulation Techniques
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... and a lot more! Explore our website for more information.
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­ actuarial-academy.com ­
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