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Enroll Early, Learn Smart:
Unlock Your Early Bird Benefits |
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As we embrace the sunny days and warm breezes of summer, we are
excited to bring your attention to the upcoming early bird
deadlines for our autumn events.
Be sure to visit our website to uncover a diverse selection of web sessions, on-site seminars, as well as CERA and Actuarial Data Science trainings.
Enjoy the sunshine and start planning for a fantastic autumn! |
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Web Session 'CERA, Module B: Taxonomy, Modelling and
Mitigation of Risks'
9-13 September 2024 |
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We offer a series of four training courses and exams (through
DAV) to all actuaries who want to deepen their knowledge in
Enterprise Risk Management and gain the international
ERM-credential CERA. They can be booked as a whole series to
fulfil the requirements for receiving the CERA designation, or
individually as CPD training.
The web seminar 'CERA, Module B: Taxonomy, Modelling and
Mitigation of Risks' focuses on quantitative analyses of financial
and non-financial risks of an insurance company and the effect and
possible applications of risk mitigation techniques. After an
introduction to the economic valuation of an insurance company,
including stochastic valuation models and approximation techniques
for life companies, and the building blocks of its economic balance
sheet, the risk measure as well as the relevant regulatory
requirements of Solvency II will be discussed. Different concepts
of risk modelling covering from standard formula to fully internal
models will be presented. |
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Your early-bird registration fee is
€ 1,625.00 (net) / € 1,933.75 (incl. VAT, if applicable) until 29
July 2024. After this date, the fee will be € 1,800.00 (net) / €
2,142.00 (incl. VAT, if applicable). |
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Seminar 'Open Source Tools R and Python: Extending the
Toolbox of the Actuary' in Prague
30 September - 1 October 2024 |
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Over the last years, typical data science tasks like data
manipulation and modelling have gained a stronger foothold in the
day-to-day professional life of the actuary. Open source languages
are renowned to be especially equipped to deal with this kind of
tasks, but can also be tricky to get started with, especially when
one has not been properly introduced to them. This workshop offers
the opportunity to become more familiar with the open source
environment and their applications, illustrated in detail by means
of a number of hands-on modules, hereby enabling the actuary to
tackle the data science tasks in an elegant manner.
This seminar will also focus on the 'scientific stack' of both R
and Python and draw some comparisons between both worlds where we
will try to show that it's not a matter of choosing between both
ecosystems but of choosing the best of both (continuously evolving)
worlds. |
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Your early-bird registration fee is
€ 970.00 (net) / € 1,193.10 (incl. VAT, if applicable) until 30
July 2024. After this date, the fee will be € 1,280.00 (net) / €
1,574.40 (incl. VAT, if applicable). |
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Web Session 'Actuarial Data Science -
Advanced'
12-14 September 2024 |
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This is part two 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. 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).
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 training, we cover a wide range of topics. This
includes an advanced 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 Python. The training 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
1 August 2024. After this date, the fee will be €
1,521.00 (net) / € 1,809.99 (incl. VAT, if applicable). |
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Web Session 'Assets and Liabilities Management (Part 1:
Introduction)'
16-18 September 2024 |
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In recent years, the modelling tools used in ALM strategies
have become increasingly sophisticated and the technical aspects of
current insurance regulation have increased. As a result, some ALM
aspects have become more and more difficult to understand and
master.
This ALM training starts with a first part that is
primarily an introduction to main concepts of ALM and is
therefore particularly suited for participants coming from
different departments (for instance, people dealing with own risk
solvency assessment techniques or enterprise risk management) and
wanting to develop a broader view on what ALM is and how it works.
It is also well suited for newcomers or people wanting to refresh
their mind on these concepts. Note that the training is not limited
to people working in ALM or treasury departments but is also
adapted to other departments.
The second part (bookable separately) is more advanced and
intended for those wishing to gain more in-depth
expertise on the topics. It includes some mathematical
technicity, but nothing that goes further than a solid high school
level.
The participants can follow a single part or both. |
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Your early-bird registration fee is
€ 600.00 (net) / € 714.00 (incl. VAT, if applicable) until 5
August 2024. After this date, the fee will be € 780.00 (net) / €
928.20 (incl. VAT, if applicable). |
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Web Session 'Explainable AI for Actuaries: Concepts,
Techniques and Case Studies'
19/20 September 2024 |
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The increasing use of artificial intelligence (AI) and machine
learning (ML) in the insurance industry in general and in actuarial
issues in particular presents both opportunities and risks.
Acceptance of complex methods requires, among other things, a
degree of transparency and explainability of the underlying models
and the decisions based on them.
By the end of the seminar, 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. |
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Your early-bird registration fee is
€ 360.00 (net) / € 428.40 (incl. VAT, if applicable) until 8
August 2024. After this date, the fee will be € 475.00 (net) / €
565.20 (incl. VAT, if applicable). |
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