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| Forecast Savings with Our Final |
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| Early Bird Newsletter of the Year |
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As
the year comes to a close, we're excited to present you with the
last Early Bird opportunities for 2024. Don't miss this chance to
register for our 2025 training sessions at reduced rates, helping
you kick off the new year with valuable learning and savings.
Below, you'll find a list of web sessions with upcoming Early Bird
deadlines - covering essential actuarial topics designed to keep
you ahead in a dynamic and evolving field. |
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| Act now to benefit from these discounts before they
expire! And don't forget: You can explore additional training
opportunities, including web sessions, seminars, and conferences,
on our website. |
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Adding
Value Through Risk Measurement:
Capital Allocation & Beyond |
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Participants will gain an in-depth understanding of two techniques
for allocating aggregate capital to business units or individual
risks that are valuable for risk assessment and business
management.
Using R, we provide a practical case study on the (often
challenging) estimation of gradient capital allocation and
Orthogonal Convexity Scenarios using kernel estimation methods,
providing in-depth guidance on how to apply the two methods in
practice. |
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Your early-bird registration fee is € 150.00 (net)
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€ 178.50 (incl. VAT, if applicable) until
18 December 2024. After this date, the fee will be
€ 195.00 (net) / € 232.05 (incl. VAT, if applicable). |
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Discovering Data Science |
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aim of this course is to introduce participants to the fundamentals
of data science, enabling them to understand its relevance and
apply basic skills in their daily business. By delving into data
exploration, predictive analytics, and innovative methodologies,
participants will grasp the essence of data-driven decision-making.
Through a blend of theoretical concepts, practical examples, and
interactive exercises, you will gain insights into extracting
valuable information from datasets, utilizing predictive models for
forecasting, and navigating potential risks. Furthermore, engaging
with fellow participants will offer diverse perspectives on the
application of data science techniques across various insurance
sectors, enriching your understanding and fostering collaborative
learning. And after completing the course, you may even feel
inclined to take the EAA training program to earn the EAA Certificate in
Actuarial Data Science. |
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Your early-bird registration fee is € 225.00 (net)
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€ 267.75 (incl. VAT, if applicable) until
19 December 2024. After this date, the fee will be
€ 290.00 (net) / € 345.10 (incl. VAT, if applicable). |
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| Modern
Financial Simulation Techniques |
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purpose of this web session is to discuss various techniques that
actuaries and others needing to carry out or oversee simulation
exercises can use or propose to use to improve the runtime
characteristics and likely robustness of these exercises. We will
interactively explore some of the techniques involved with worked
examples and with reference to regulatory and other texts. |
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Your early-bird registration fee is € 150.00 (net)
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€ 178.50 (incl. VAT, if applicable) until
23 December 2024. After this date, the fee will be
€ 195.00 (net) / € 232.05 (incl. VAT, if applicable). |
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| Climate
Risk Stress Testing for Physical Risk from Natural Hazards |
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This
session will cover various practical aspects around physical
climate risk modelling and scenarios analysis, including:
- Understanding how climate change affects different natural
catastrophe risks for insurers.
- Exploring the modelling of physical hazards under climate
change for location-based portfolios and discuss peer-reviewed data
that can be leveraged for this assessment.
- Step-by-step walkthrough of key elements for preparing and
performing a climate risk stress test for a property portfolio and
illustration based on a case study.
- Discuss results from a case study focusing on flood, wildfire,
and tropical cyclones for selected countries, and highlight common
challenges in application.
- Highlight key assumptions, limitations, and uncertainties
surrounding this assessment.
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Your early-bird registration fee is € 225.00 (net)
/
€ 267.75 (incl. VAT, if applicable) until
24 December 2024 . After this date, the fee will be
€ 290.00 (net) / € 345.10 (incl. VAT, if applicable). |
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Prospecting Health Similar to Life Techniques: Concepts,
Commonalities and Case Studies |
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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.
By 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. |
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Your early-bird registration fee is € 300.00 (net)
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€ 357.00 (incl. VAT, if applicable) until
30 December 2024. After this date, the fee will be
€ 390.00 (net) / € 464.10 (incl. VAT, if applicable). |
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| Risk
Mapping for Social Security Pension Systems |
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Pension funds are entrusted with safeguarding the financial
security of many individuals in retirement and play a crucial role
in society. Mandatory social security pension schemes, designed to
provide a safety net for the working population, can benefit from
an additional layer of sophistication in their risk management
systems.
In this presentation, we introduce a proposal for a generalised
Risk Management Framework for social security systems in order to
address identified gaps in social security risk management. We
interpret the general principles of ERM from the perspective of
pensions as financial institutions and identify the intrinsic
features of social security pension schemes that differentiate
them.
Still, it is recognised that risk management in pensions is
basically a complex and challenging topic where further research is
necessary. |
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Your early-bird registration fee is € 150.00 (net)
/
€ 178.50 (incl. VAT, if applicable) until
31 December 2024. After this date, the fee will be
€ 195.00 (net) / € 232.05 (incl. VAT, if applicable). |
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Actuarial Data Science - Basic |
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Organised by the EAA - European Actuarial Academy GmbH in
cooperation with the Aktuarvereinigung Österreichs (AVÖ).
This is part one of four courses (seminar and exam) to obtain the
additional title Certified Actuarial Data Scientist by the AVÖ
and/or DAV. Participants who do not hold an AVÖ or DAV membership
have also the opportunity to obtain a newly established EAA Certificate in
Actuarial Data Science by taking part in all four modules
and the corresponding exams. In addition, all courses are open
to interested actuaries to deepen their knowledge and skills in the
field of Actuarial Data Science (without exams).
This module provides an introduction to the concepts of Actuarial
Data Science and its applications. We start at the very beginning,
so no prior knowledge is required.
In this three-day seminar, we cover a wide range of topics. This
includes a basic introduction to the concepts and terms of
artificial intelligence, modern data management concepts (with a
special look at insurance companies), aspects of data protection
and the mathematical and statistical concepts of data mining. On
our way, we touch different use cases in the actuarial environment.
To this end, we provide a brief insight into the widely used
language R and development tools in the data science context
(RStudio, Anaconda). The seminar rounds off with principles for the
ethical handling of artificial intelligence in the insurance
environment. |
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Your early-bird registration fee is € 1,170.00 (net)
/
€ 1,392.30 (incl. VAT, if applicable) until
2 January 2025. After this
date, the fee will be
€ 1,521.00 (net) / € 1,809.99 (incl. VAT, if
applicable). |
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