|
|
|
|
|
|
EAA Newsletter |
|
|
|
|
|
|
Explore Our Latest Training Opportunities |
|
|
|
|
|
|
|
|
|
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! |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
GenAI Beyond the Basics: Advanced Concepts for
Actuaries |
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Explainable AI for Actuaries: Concepts, Techniques
& Case Studies |
|
|
|
|
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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
IDD and POG Requirements from an Actuarial
Perspective |
|
|
|
|
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.
further
details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5/6 June 2025 in Vienna |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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:
- Python Basics: An introduction to Python programming,
focusing on data structures and fundamental syntax.
- Data Manipulation: Working with datasets using Pandas for
data cleaning and transformation.
- Data Visualization: Creating insightful charts and graphs
using Matplotlib and Seaborn.
- 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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Third-Party Risk Management: Managing External Service
Providers |
|
|
|
|
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.
further
details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Further Trainings |
|
|
|
|
|
|
22 January
2025
Volatility Adjustment under Solvency II
further details
23 January 2025
Worldwide Mortality: From Historical Trends to Future
Projections
further details
27 January 2025
Demand Modelling, Price Optimisation - Techniques, Ethics,
Impact
further details
28 January 2025
A Machine Learning Approach to Best Estimate Assumption Setting:
Life Insurance Case Study
further details
29 January 2025
Adding Value Through Risk Measurement: Capital Allocation &
Beyond
further details
30 January 2025
Discovering Data Science
further details
3 February 2025
Modern Financial Simulation Techniques
further details
... and a lot more! Explore our website for more
information. |
|
|
|
|
|
|