|
|
|
|
|
|
EAA Newsletter |
|
|
|
|
|
|
Explore
Our Newest Training Opportunities |
|
|
|
|
|
|
|
|
|
We're
happy to share with you the latest additions to our training
schedule for 2025, designed to help you stay current with your
knowledge and skills. These sessions cover a range of relevant
topics and offer opportunities to expand your expertise while
fulfilling your CPD requirements. |
|
|
|
|
|
|
|
January 2025 Trainings
Now Open for Booking! |
|
|
We are pleased to announce that the previously shared
January 2025 training sessions are now open for booking on our
website! Many of you have been eagerly awaiting this update, and
you can now explore the full details and secure your spot in the
following sessions:
Don't miss the opportunity to book early and take advantage of our
Early Bird Discount. By registering now, you secure your place and
enjoy additional savings on these valuable professional development
opportunities. |
|
|
Two
February 2025 Trainings Available for Booking! |
|
|
Additionally, we are excited to announce that two new
web sessions in February 2025 are also bookable: 'Actuarial Data
Science - Basic' and 'Actuarial Data Science - Immersion'. These
sessions are part of the pathway to earning the EAA
Certificate in Actuarial Data Science and are essential for
those pursuing this certification. Further details on these modules
are provided below. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Worldwide
Mortality:
From Historical
Trends to Future Projections |
|
|
|
|
In this web session we will analyse different age
groups, their causes of death and how they coincide with mortality
developments. In addition to that, we will discuss the drivers
behind changes in mortality, such as advances in medicine and
public health, changes in lifestyle and socioeconomic factors.
Understanding the various drivers of mortality is essential for
predicting future trends and consequently for the assessment of the
biometric risk in life- and pension insurance.
Our online training will also explore the implications of changing
life expectancies for our work as actuaries. We will discuss how we
can use data and analysis to better understand these changes and
make informed decisions about the future. In this context, we also
outline the strengths and limitations of the Lee-Carter model as a
widely used model for predicting future mortality rates.
Last but not least, we discuss general uncertainties around future
mortality, where we focus especially on the demographic and
geographical factors analysed in the first part of the
lecture.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Discovering Data
Science |
|
|
|
|
The 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.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
SAVE
THE DATE ! WILL BE BOOKABLE SOON ! |
|
|
|
|
Modern
Financial Simulation Techniques |
|
|
|
|
In this web session, we will explore techniques
designed to help actuaries tackle computational challenges in their
work. We will pay particular attention to techniques relevant to
the calculation of risk measures and other typically
computationally more challenging problems actuaries can face in
such exercises. The techniques will range from the conceptually
simple, such as merely selecting fewer or a more representative
sample of simulations or parallelising computations more
efficiently, to the conceptually more complicated, such using
algorithmic differentiation, segmented Monte Carlo, artificial
intelligence techniques and novel computing technologies such as
quantum computing. The session will set these techniques within the
context of relevant regulatory guidance on how such exercises might
best be carried out.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
SAVE
THE DATE ! WILL BE BOOKABLE SOON ! |
|
|
|
|
Prospecting Health Similar
to Life Techniques:
Concepts,
Commonalities and Case Studies |
|
|
|
|
In the first part of this training the actuarial
concepts that constitute the core of what is practised as Health
SLT are introduced. We will outline some of the differences between
jurisdictions like Germany and Austria to indicate how the concepts
introduced so far are adapted to different legislations.
By exemplifying the impact of (potentially different) premium
adjustment clauses, we give indications to the treatment of Health
SLT in Solvency II and IFRS 17.
In the second part of the training more recent enhancements are
delineated, such as embedding frequency/severity modelling and
Markovian states (Thiele's formula) to the Health SLT actuarial
framework. A Case Study with hands-on examples (in Excel) will be
presented illustrating actuarial methods to support a tariff, by
which an insured person may choose deductibles from a range of
values as well as the application of Thiele's equation in
combination with frequency/severity modelling of claims.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Actuarial Data Science -
Basic |
|
|
|
|
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.
All courses are open to interested actuaries to deepen their
knowledge and skills in the field of Actuarial Data Science
(without exams).
This seminar is the first part of a four-part series, where we
cover a wide variety of topics ranging from fundamentals of
digitalization in the insurance industry to data management and
deep learning. The series had been very successfully established at
the German Actuarial Association (DAV) and is based on the learning
objectives of the DAV for Actuarial Data Science Basic, which is
part of the actuarial training in Germany.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Actuarial Data Science -
Immersion |
|
|
|
|
Organised by the EAA - European Actuarial Academy GmbH
in cooperation with the Aktuarvereinigung Österreichs (AVÖ).
This is part three 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.
This web session is the third 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 and advanced trainings, discussing further important
techniques in the context of deep learning and providing further
theoretical foundations. It is based on the learning objectives of
the DAV for Actuarial Data Science Immersion, which is part of the
actuarial training in Germany.
further details |
|
|
|
|
|
|
|
|
|
|
|
|
|
Further
Trainings in 2024 |
|
|
|
|
|
|
30 September - 1
October 2024
Seminar 'Open Source Tools R and Python: Extending the Tool of the
Actuary' in Prague
further details
8 October 2024
Discrimination-Free Pricing: of Limits & Possibilities
further details
9 October 2024
Climate Change Scenarios in Context - A Stress Testing Case
Study
further details
10 October 2024
Strategic Balance Sheet Management (Business Game)
further details
14-16 October 2024
Assets and Liabilities Management (Part 2: Advanced)
further details
17 October 2024
Introduction to Natural Catastrophe Modelling
further details
23 October 2024
Cancer Survivors' Right to be Forgotten
further details
24/25 October 2024
LLM Principles and Case Studies for Insurance
further details
28-31 October 2024
Communication for Actuaries
further details
4 November 2024
System Migrations of Life Insurance Contracts: DON'T JUST
MIGRATE
further details
5 November 2024
Predictive Modelling in the Insurance Sector
further details
6/7 November 2024
Emerging Risks: Statistical Analysis and Scenario Building
further details
8 November 2024
AI in the Health & Life Sciences: Ethical Challenges of Big
Data
further details
... and a lot more! Explore our website for more
information. |
|
|
|
|
|
|