The participating companies will give the following cases:

Willis Towers Watson
During the Conference Willis Towers Watson will provide a challenging case. The case will be focused on Actuarial Science, in particular the world of insurance. You will need to assess risks, sudden developments and possible correlations and adjust pricing strategies accordingly. Just like in consultancy time pressure and team work will be important factors during the case. We will call upon your analytical skills and fast and creative thinking to outperform your competitors, dominate the market and win the case! Do you think that you’ve got what it takes to be an actuarial consultant?

NN Group
At NN Group we provide a wide variety of possibilities to use your quantative skills. During a brief introduction to the company we will tell you all about these opportunities and some of our young professionals will share their own experiences with you.
After the presentation we will divide the group into several teams and you will start working on a challenging case. In this case you will take on the roles of the CFO and the CRO of a virtual insurance company and will be challenged to strike the right balance between policyholder security and shareholders return, for example by taking the right investment decisions. In the case we will touch upon different areas where you as a young econometrician or actuary can have an impact.
Are you ready to discover your opportunities? Join our case during the VESTING Conference, because we
are looking forward to meeting you!

De Belastingdienst
The Dutch Tax Administration has to determine whether all declarations are filled out correctly. In practice it can occur that a person fills in a smaller amount, unintentional or intentional, which results in less income tax to be paid. Due to the large number of declarations it is not possible to check for the Dutch Tax Administration to check them one by one. Using probability models they predict if a declaration is filled out correctly. When there is high risk of being incorrect, the declaration is checked manually.
During this case you will have to determine which 100 persons have to be checked manually from a dataset including information on the declarations from 2013 upto and including 2016. 
This dataset includes the amount filled in, the amount imposed and personal information.
To solve these problems the following questions could be taken into account: When is a declaration incorrect?; Is the data correct or should it be adjusted?; Is the use of a certain kind of data allowed by law?

Description will follow shortly

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