| |
|
|
| |
|
|
| |
EAA Newsletter |
|
| |
|
|
|
| |
Explore Our Newest Training Opportunities |
|
| |
|
|
|
| |
|
|
| |
As
the year comes to a close and the festive season approaches, we are
excited to present the latest additions to our 2025 training
programme. This is the perfect time to plan ahead and treat
yourself to the opportunity to stay up to date with essential
skills and knowledge. Covering a wide range of topics, our web
sessions, seminars, and conferences will help you meet your CPD
requirements and kick off the new year with a professional
advantage. |
|
| |
|
|
|
| |
Benefit from our Early Bird Discount offers by registering early to
secure your place and make the most of these valuable learning
opportunities. |
|
| |
|
|
|
| |
 |
| |
|
| |
|
|
| |
| |
|
|
| |
| Non-Life Pricing Using Statistical Techniques with R
Applications |
| |
|
|
|
| |
Non-Life insurance is facing many challenges ranging
from fierce competition on the market or evolution in the
distribution channel used by the consumers to evolution of the
regulatory environment. Pricing is the central link between
solvency, profitability and market shares (volume). Improving
pricing practice encompasses several dimensions:
- Technical
- Competition
- Elasticity
- Segmentation
The aim of this web session is to present some advanced
actuarial/statistical techniques used in non-life pricing or
underwriting. The web session focuses on selected practical
problems faced by pricing actuaries and product managers.
further
details |
| |
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
| AI Act: The Insurance Fallout-Use-Cases &
Exemplary Implementations |
| |
|
|
|
| |
Not many legislations are as controversial as
now-adopted EU Artificial Intelligence Act, that will regulate the
usage of Machine Learning and Deep Learning methods within the
European Union's economic area.
While it can be argued that usage of AI methods and processes has
been slow in the insurance business, current wording suggests that
also many common practices not previously considered "AI" might be
subject of regulation as well. Although not all details are clear -
and that's part of the problem - there are some areas where there
will be consequences as well as an urgent need for action with
respect to the actuarial practice.
This follow-up training aims to provide use-cases and exemplary
implementation approaches as well as impact assessments for
practitioners.
further
details |
| |
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
| Understanding the Performance of an Insurance
Company |
| |
|
| 3/4 April 2025 | Athens, Greece |
| |
|
| |
Due to the inversion of the production cycle, the
insurance business is very different from other traditional
industries. Understanding, measuring and managing the
performance of insurance companies is difficult due to the
specific risks insurance companies must cover. It is therefore
essential that you, as employee of the insurance sector, understand
how your company is functioning, how its activity is measured via
the balance sheet and the P&L, what are the main regulations
influencing this measure, which indicators are used to assess the
performance and what levers can improve this performance.
The aim of this workshop is to:
- Present the functioning of an insurance company and the
insurance and financial products it manages
- Explain how to read and understand the different elements of an
insurance balance sheet and P&L, in local GAAP and in IFRS
- Compute performance indicators used in different regulatory
frameworks (Local GAAP, IFRS and Solvency 2)
- Understand the impact of risk mitigation (reinsurance) and ALM
on the performance
further
details |
| |
|
|
|
|
|
|
|
| |
 |
| |
|
| |
|
|
| |
| |
|
|
| |
| Non-Life Pricing Using Machine Learning Techniques
with R Applications |
| |
|
|
|
| |
This will be the programme for the advanced session
(the basic session is scheduled for 17-20 February 2025; see
above):
- Data selection, pre-analysis and feature felection (data
quality, pre-treatment, missing values, feature engineering and
feature selection) | Overfitting and cross-validation | Example:
Data analysis and filtering
- Reminders and Q&A about regression tree models | How to fit
a machine learning model | Example: Fitting a regression tree and
random forest on frequency
- Reminders and Q&A about bagging and random forest models |
Case study: Random forest model adjustment for cost
- Reminders and Q&A about GBM models | Case study: GBM model
adjustment for frequency | Example: Fitting a neural network on the
average claim amount
- Interpretability of machine learning techniques | Case study:
Features selection, partial dependence plot and Shapley value
- Case study: Application of GBM method to highlight interactions
| Reminders and example about unsupervised machine learning
- Profitability analysis: profitability and positioning
assessment with ML techniques | Example: profitability analysis
with regression trees
- Competition analysis: understanding competitors prices |
Example: Reverse engineering of competitors prices | Client
behaviour and elasticity
further
details |
| |
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
| How to Read the IFRS Balance Sheet for Insurers |
| |
|
|
|
| |
The goal of this three-hour web session is to provide
participants with a comprehensive introduction on the IFRS
reporting requirements for insurance contracts after go-live of
IFRS 17. Focus will be the illustration of the reporting
requirements of IFRS 17 to "demystify" the new presentation
requirements on the IFRS balance sheet and the statement(s) of
financial performance (Profit and Loss as well as Other
Comprehensive Income). The web session will also briefly compare
key aspects of the reporting requirements to former IFRS
4-reporting practice, contain a brief summary of the main
information which can be found within the IFRS 17 reporting and
cover the different aspects for primary and reinsurance related
business.
Overall, the goal is to enable participants to understand the IFRS
17 reporting and help transferring the reporting requirements into
the specific situation of the participant. It is thus intended to
prepare participants for analysing, testing, reviewing, and
consulting with management, accounting, and auditors.
further
details |
| |
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
| EAA e-Conference on Data Science & Data
Ethics |
| |
|
|
|
| |
In an era marked by unprecedented technological
advancements, the actuarial landscape has experienced profound
transformations. The exponential growth of computational power and
the abundance of data have converged and provide an exciting
opportunity for the actuarial profession to redefine its boundaries
and explore the ethical implications of this new field. The role of
actuaries is evolving at an incredible pace but remains
incompletely defined. We are at a crucial point where a new
understanding of the possibilities of actuarial science and its
ethical obligations needs to be created. Best practice experience
sharing, and exchange of ideas is needed.
We are delighted to offer all interested actuaries and other
experts a forum for knowledge exchange: On 14 May 2025, the virtual
EAA e-Conference on 'Data Science & Data Ethics' will take
place. The programme will blend keynote speeches featuring insights
from renowned experts with selected talks delivered by
professionals participating through this CALL FOR SPEAKERS, providing a
diverse range of perspectives and food for thought.
further
details |
| |
|
|
|
|
|
|
|
| |
 |
|
| |
|
|
| |
Further
Trainings 2024/2025 |
|
|
| |
|
|
| |
25 November
2024
Storytelling for Actuaries
further
details
27 November 2024
Calculation of Life Insurance Products by Means of Markov
Chains
further
details
2/3 December 2024
CERA 0: A Refresher Course in Financial Mathematics and Risk
Measurement
further
details
5 December 2024
Life Biometric Assumptions: Bringing Together New & Classic
Methods
further
details
9 December 2024
Discrimination-Free Pricing: of Limits & Possibilities
further
details
10 December 2024
Inflation Risk Management
further
details
11 December 2024
SCR Interest under Solvency II
further
details
12 December 2024
Stochastic Projection Models in Life Insurance
further
details
13 December 2024
ESG Investing from a (Retail) Investor Point of View
further
details
17 January 2024
Generative AI Crash Course for Actuaries
further
details
... and a lot more! Explore our website for more
information. |
|
| |
|
|
|
|
|
