| |
|
|
|
|
|
|
|
|
Newsletter on EAA Web Sessions - Benefit from our Early
Bird Rates
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Book now and save money!
|
|
|
|
|
|
|
|
|
|
|
|
|
Benefit from discounts for many EAA web sessions taking place in
May and June 2023 with early bird rates in April 2023. These online
trainings cover topics such as
- Open Source Tools R & Python,
- IFRS9 for Insurers,
- How to read the new IFRS Balance Sheet
for Insurers,
- Imbalanced Classification: Problems
& Solutions with Use Cases and
- ML Explainability in Actuarial Data
Science: A Practical Primer.
Furthermore, you are invited to visit our website for all
published online trainings
here.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Web Session: "Open Source Tools R & Python:
Extending the Toolbox of the Actuary" on 11/12 May 2023, 9:00-17:00
CEST
Early bird discount until tomorrow!
|
|
|
|
|
|
|
|
|
The goal of this two-day training is to introduce the
participants to both open source ecosystems and to get a good
understanding of both languages. However, since both ecosystems are
way too vast to be covered in merely two days, the participants
will be asked to go through the basics of both languages
themselves, prior to the web session. During the first three hours
of the web session, these basics which will be shortly revised, but
at a higher pace. The course material, containing the basics of
both languages, will be provided by the organizers several weeks
before the beginning of the web session, such that the participants
will have plenty of time to go through the material at her/his
ease.
As such, less time needs to be spent on the basic elements of both
languages, hereby enabling us to organize a three-hour hands-on
exercise session to more easily assimilate the course material.
Note that the participants need to bring along a laptop on which
both R and Python are installed. Instructions on how to do so, will
be provided by the organizers at the same moment as the course
material of R and Python basics, hence several weeks in
advance.
As a result, a jump start on how to truly use these languages in
practice will be provided to the participants, by focusing on
solutions for problems that they will surely regularly encounter in
their day-to-day job, by handing over lots of links to online
resources and a very rich course material and by even organizing
hands-on exercise sessions.
Your early-bird registration fee is € 600.00 plus
19% VAT until tomorrow. After this date, the fee
will be € 780.00 plus 19% VAT.
further details
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Web Session: "Introduction to IFRS9 for Insurers" on 22
May 2023, 9:00-13:30 CEST
Early bird discount until 10 April 2023!
|
|
|
|
|
|
|
|
|
Insurance companies are quite busy with IFRS17 and devote
relatively little attention to IFRS9, its equivalent on the asset
side. The complexity of this standard must however not be
underestimated. If not only regular bonds, but also some banking
products, appear on the balance sheet, IFRS9 poses quite some
challenges.
Due to the great success of our first session: "Introduction to
IFRS9 for Insurers" in December 2022, we are happy to offer our
half day training on "IFRS9 modelling for insurers" once again on
22 May 2023, enhanced with short exercises, practical examples, as
well as a hands-on demonstration.
This training mainly deals with mathematics and statistics, but
related topics such as the IT implementation, accounting and
governance aspects will also be briefly discussed. Parallels
between actuarial work and IFRS9 modelling will be highlighted
where appropriate.
At the end of the morning session, the participants will have a
high-level view on the IFRS9 standard as a whole, a good insight in
the modelling of expected credit losses and stage transfer under
IFRS9, as well as clear ideas on how to proceed in practice.
Your early-bird registration fee is € 200.00 plus
19% VAT until 10 April 2023. After this date, the
fee will be € 270.00 plus 19% VAT.
further details
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Web Session: "How to Read the New IFRS Balance Sheet for
Insurers" on 23 May 2023, 9:00-12:15 CEST
Early bird discount until 11 April 2023!
|
|
|
|
|
|
|
|
|
In 2017, after more than two decades of debates, outreach and
Exposure Drafts, the IASB finally published the new IFRS 17
standard for Insurance Contracts. Following additional years of
further debates on several actuarial and accounting-related aspects
the new standard will become effective on 1st January 2023 and
fundamentally change the way on how many insurance companies will
have to present their obligations and their financial performance
stemming from insurance contracts.
As evolving experience shows, actuaries will play a key role in
that new reporting regime: The standard will require many
fundamental decisions, which will determine the reporting of the
amount and profile of IFRS results for years to come. Actuaries
will need to understand the corresponding consequences for
reporting and to be able to explain it to their top-management.
They will also play a key role in the preparation of landmark
decisions and will need to closely collaborate and communicate with
other functions, i.e. the accounting function.
Accordingly, a strong focus of this web session is to assist
actuaries to better understand the new key reporting requirements
of IFRS 17, in particular regarding the new IFRS balance sheet and
statement(s) of financial performance (Profit and Loss as well as
Other Comprehensive Income). The web session will be useful for
both finance and actuarial experts involved in IFRS 17
implementation or simply interested in the practical application of
this ground-breaking new standard.
Your early-bird registration fee is € 150.00 plus
19% VAT until 11 April 2023. After this date, the
fee will be € 205.00 plus 19% VAT.
further details
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Web Session: "Imbalanced Classification: Problems &
Solutions with Use Cases" on 1 June 2023, 9:00-14:00
CEST
Early bird discount until 20 April 2023!
|
|
|
|
|
|
|
|
|
During the past decade, supervised classification problems have
been identified in several actuarial fields, such as risk
management, projection modeling, fraud and anomaly detection, etc.
In many of these problems, the respective classification task is
subject to a highly imbalanced dataset, i.e., the number of
instances of the relevant class is extremely small in comparison to
the total number of instances. Classical supervised machine
learning frameworks can be misleading (in case of using an
inappropriate evaluation metric) or ineffective (in case of using
inappropriate classifiers) in such situations.
In this web session, we will present several techniques to tackle
these issues. More specifically, external approaches (data
preprocessing, such as over- and undersampling procedures) as well
as internal approaches (modification of classifiers, e.g., balanced
versions of random forests and support vector machines) will be
discussed. After a concise introduction to imbalanced
classification and the techniques above, we will turn theory into
practice by implementing entire machine learning workflows in
Python and R for two real-world use cases: churn prediction and
fraud detection.
Your early-bird registration fee is € 200.00 plus
19% VAT until 20 April 2023. After this date, the
fee will be € 270.00 plus 19% VAT.
further details
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Web Session: "ML Explainability in Actuarial Data
Science: A Practical Primer" on 5/6 June 2023, 9:00-16:30
CEST
Early bird discount until 24 April 2023!
|
|
|
|
|
|
|
|
|
These days, nobody disputes the profound impact and
yet-untouched potential of Machine Learning and Artificial
Intelligence anymore. Yet, in the actuarial sciences, these
breakthrough possibilities are hampered by regulation, the need for
numerical confidence and insight into model decision making, the
latter being subsumed as a "black box problem". Thus, the quest for
explainability is in fact much more pressing than in any other
industry.
This upcoming seminar on ML explainability aims to provide
insights into the areas of unsupervised learning, supervised
learning and artificial neural nets via model-agnostic
explainability approaches, while providing opportunities to try out
the methods yourself!
Your early-bird registration fee is € 600.00 plus
19% VAT until 24 April 2023. After this date, the
fee will be € 780.00 plus 19% VAT.
further details
|
|
|
|
|
|
|
|
|
