|
|
| |
|
|
| |
Upcoming EAA On-Site
Seminars |
|
| |
|
|
|
| |
|
|
| |
The wait is finally over! We're delighted to announce the
long-awaited return of our on-site seminars, bringing back the
essence of collaborative learning, vibrant networking, and shared
knowledge. It's time to relive the invaluable experience of
face-to-face seminars and rekindle the professional relationships
that flourish in our vibrant, interactive environments.
Mark your calendars for these upcoming events:
- 'Actuarial Data Science - Basic'
on 18-20 April 2024 in Vienna
- 'Actuarial Methods for Cyber Insurance'
on 16/17 May 2024 in Lisbon
Take a closer look at the details below and seize the opportunity
to attend these enriching events. Join us in this exciting phase of
educational advancement and professional growth. |
|
| |
|
|
|
| |
| |
| 'Actuarial Data Science - Basic'
in Vienna |
|
| |
18 April 2024 | 8:45-17:00 CEST
&
19/20 April 2024 | 9:00-17:00
CEST |
| |
|
|
|
|
|
|
|
|
|
|
| |
|
|
| |
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.
Participants who do not hold an AVÖ membership have also the
opportunity to obtain a newly established EAA certificate
'Actuarial Data Scientist' by taking part in all four modules and
the corresponding exams. It is planned to offer all four modules in
2024 and 2025.
All courses are open to interested actuaries to deepen their
knowledge and skills in the field of Actuarial Data Science
(without exams).
Due to technological progress in connection with Data Science and
Digitalization, summarized under the buzzword Big Data, a plethora
of opportunities and challenges for the industry is arising.
Technological developments have now also reached the insurance
industry and thus have a direct impact on the working world of
actuaries.
Under the heading Actuarial Data Science, the procedures and
methods of data mining are embedded in the actuarial context. These
range from mathematics-driven statistical methods for derivation of
insights from data to computation-driven methods sometimes
summarized as machine learning. As a result of almost unlimited
computing capacity through cloud computing and wide availability of
training data, tried and tested methods of machine learning, such
as artificial neural networks, are experiencing a renaissance in
theory and practice.
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.
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.
Your early-bird registration fee is € 1,440.00 plus 20% VAT for
bookings by
18 February 2024. After this date, the fee will be € 1,670.00 plus
20% VAT. |
|
| |
|
|
|
|
|
|
|
| |
|
|
| |
| |
| 'Actuarial Methods for Cyber
Insurance' in Lisbon |
|
| |
16 May 2024 | 8:45-17:00 CEST
&
17 May 2024 | 9:00-15:00
CEST |
|
|
|
|
|
|
|
|
|
| |
|
|
|
| |
|
|
| |
Organised by the EAA - European Actuarial Academy GmbH in
cooperation with the Instituto dos Actuários Portugueses.
With the rise of digital economy, cyber risk has become a major
concern for all customer segments. Although the development of
"physical" protection strategies against cyber attacks is
fundamental, no protection is perfect, and insurers are intended to
play a crucial role in providing financial protection. The
cyber-insurance market is increasingly developing but with
important uncertainties on the real value of the guarantees, due to
the nature of the risk itself. The emerging and evolving nature of
cyber-risk and its potential systemic component make it one of the
most important social and economic risks and questions its
insurability.
The purpose of this seminar is to provide an overview on cyber
risk and on the ability of cyber insurance to cover it. After an
introduction describing the specificities (technological,
technical, actuarial) of cyber risk, we discuss the actuarial
models that can be adapted to pricing and reserving in the context
of cyber insurance and reinsurance. We also discuss the question of
«insurability» of cyber, and of quantification and prevention of
accumulation scenarios.
After completing this course, you will be able to
- Identify the specificities of cyber risk
- Know the contents of typical insurance and reinsurance policies
on cyber
- Understand the impact of legislation on cyber insurance
- Understand the practical constraints of cyber underwriting and
how an efficient underwriting policy can help to reduce the
risk
- Identify the factors that may jeopardize the mutualisation of
cyber risk
- Identify extreme events and convey a risk segmentation
- Construct accumulation scenarios on a cyber portfolio
- Quantify the impact of protection measures on the risk of
saturation in the insurer response capacity
- Handle numerical tools and practical applications
- Identify the key aspects of cyber claim management
- Anticipate major trends in the evolution of the risk
Your early-bird registration fee is € 970.00 plus 23 % VAT for
bookings by
16 March 2024. After this date, the fee will be € 1,280.00 plus 23
% VAT. |
|
| |
|
|
|
|
|
| |
|
|
| |
|
|
| |
Coming soon... |
|
|
|
|
|
|
