eurovida

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AUG. 2015 – October 2015 Non-Life Insurance “Popular Seguros”, Bank Popular, [Portugal] Description Ensuring that the applied tariff was profitable to the company in multi risk insurance products; Improved the discount and penalize levels of bonus-malus matrix of the company. Identify the policies that that give losses to the company. Identify fraud policies. Claim analysis in multi-risk products. Analyze and calculate the claim provision using Chain Ladder and Bootstrap methodologies Presenting results to administration team at the end of internship. This was my first contact to an insurance business and after finishing it I gain a lot of experience because in real world the analysis is not so linear as how we are taught and we need to look deeper to the company products in order to understand the results that we get form our analysis. At the end of internship the company benefit from my analysis because I identified: Many policies that were wrongly submitted; Products that had unfair premiums; Fraud policies; High accident rate policies; Accumulation in Bonus-Malus high discount levels, which lowers average premium.

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Page 1: Eurovida

AUG. 2015 – October 2015 Non-Life Insurance “Popular Seguros”, Bank Popular, [Portugal]Description

Ensuring that the applied tariff was profitable to the company in multi risk insurance products;

Improved the discount and penalize levels of bonus-malus matrix of the company.

Identify the policies that that give losses to the company.

Identify fraud policies.

Claim analysis in multi-risk products.

Analyze and calculate the claim provision using Chain Ladder and Bootstrap methodologies

Presenting results to administration team at the end of internship.

This was my first contact to an insurance business and after finishing it I gain a lot of experience because in real world the analysis is not so linear as how we are taught and we need to look deeper to the company products in order to understand the results that we get form our analysis. At the end of internship the company benefit from my analysis because I identified:

Many policies that were wrongly submitted; Products that had unfair premiums; Fraud policies; High accident rate policies; Accumulation in Bonus-Malus high discount levels, which lowers average premium.