|
|
| |
 |
|
| |
|
|
| |
| |
|
|
| |
|
Early Bird
Deadlines Approaching! |
|
|
|
|
|
|
| |
|
|
|
| |
| |
We're thrilled to
announce our upcoming early bird offerings, providing you with the
perfect opportunity to plan your future CPD trainings while taking
advantage of special discounts.
But remember, these early bird offers are only valid for a limited
time!
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.
Don't let this opportunity pass you by and make this spring a time
of elevated understanding and learning!
Speaking of further education, we have a great offer for students
- please find more information
below! |
|
|
|
|
|
|
| |
|
|
|
| |
 |
| |
|
| |
|
|
| |
| |
|
|
| |
|
Quantifying Uncertainty in Actuarial
Models: An Introduction to Conformal
Prediction |
| |
|
|
12
June 2025, 9:30-13:00 CEST |
|
| |
As the actuarial landscape becomes increasingly data-driven,
traditional statistical methods are evolving, linking point
estimates with quantifiable uncertainty. Conformal Prediction is a
powerful framework used to evaluate the uncertainty of predictions.
It turns point predictions into prediction regions, in this way,
when you make a prediction, the output has probabilistic guarantees
that it covers the true outcome. In this web session, we will
explore the theoretical foundations of Conformal Prediction, its
assumptions, methodology, and advantages over traditional
approaches. Participants will see how this technique can be a
disruptive innovation in risk assessment, pricing, reserving, and
forecasting by integrating uncertainty directly into predictions.
The session is balanced between theory and hands-on activities,
offering real-world examples and code demonstrations in
classification, regression, time series, natural language
processing (NLP), and computer vision, all applied to challenges in
the actuarial field.
Early-bird discount is
available for bookings made by 1 May 2025. |
| |
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
|
Non-Life Pricing Using Machine
Learning Techniques with R Applications |
| |
|
|
16-18 June 2025, 9:00-14:00 (day 1) |
9:00-13:45 (day 2&3) CEST |
|
| |
Non-Life insurance is facing many challenges ranging from fierce
competition in the market or evolution in the distribution channel
used by 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: is our pricing adequate to cover the underlying cost
of risk of my policyholders and the other costs we are facing?
Which are the key variables driving the risk? Are they adequately
taken into account in our pricing? What's the impact of the claims
history of my policyholder on its expected risk? In which segment
are we profitable and in which are we not profitable?
- Competition: at what price will we attract the segments that we
target and price out those that we do not want? Is the positioning
of our competitors influencing our pricing practice and our
profitability? What's my position with respect to my competitors in
terms of pricing? What are the segments in which I am well
positioned and the segments where I am not well positioned?
- Elasticity: what price (evolution) are our existing customers
prepared to accept? Does the sensitivity to price evolution depend
on the profile of my customer?
- Segmentation: is our segmentation granular enough for our
purposes?
The aim of this web session is to present some advanced
actuarial/statistical techniques used in non-life pricing,
competition analysis and profitability analysis. The web session
focuses on some practical problems faced by pricing actuaries and
product managers and presents some new techniques used in non-life
pricing in order to open new perspectives for product development
(competition analysis, profitability analysis,…).
Early-bird discount is
available for bookings made by 5 May 2025. |
| |
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
|
Third-Party Risk Management: Managing
External Service Providers |
| |
|
|
23
June 2025, 9:00-13:30 CEST |
|
| |
In an increasingly globalized and competitive business environment,
outsourcing activities or services has become a key strategy for
many organizations. This approach allows access to specialized
expertise, reduces operational costs, and enables a focus on core
competencies. However, it also involves transferring critical
responsibilities to third parties, introducing new financial,
operational, legal, technological, and reputational risks that can
significantly impact the organization if not properly
managed.
The Outsourcing Risk Management Program is designed to address
these challenges by providing a systematic framework to identify,
assess, mitigate, and monitor the risks inherent to outsourcing.
This program focuses on establishing strong relationships with
providers, ensuring compliance with applicable regulations, and
protecting the interests of the organization, its customers, and
other stakeholders.
By implementing this program, the goal is not only to minimize the
risks associated with outsourcing but also to maximize the benefits
of this practice, ensuring operational continuity, service quality,
and alignment with the company's strategic objectives. This is
achieved through structured processes, advanced monitoring tools,
and an organizational culture that values proactive risk
management.
Early-bird discount is
available for bookings made by 12 May 2025. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
 |
|
|
|
|
|
|
|
|
|
|
| |
|
|
| |
| |
|
|
| |
|
EAA e-Conference on Data Science &
Data Ethics: Special Offer for Students! |
| |
|
|
14
May 2025, 9:30-17:00 CEST |
|
| |
To celebrate 20 years of EAA, we are offering free tickets for students for the
6th EAA e-Conference on Data Science & Data
Ethics!
If you are currently enrolled at a university and interested in
actuarial science, data or risk - this is your chance to join a
unique virtual event with international experts.
How to apply: Just send a short email
to contact@actuarial-academy.com including proof of your
student status (e.g., a university ID or current enrollment
confirmation).
Spread the word to fellow students and join us for a full day of
inspiration and learning! |
|
|
|
|
|
|
|
|
|
