Data Analytics for Non-Life Insurance PricingWe study statistical methods in supervised learning for non-life insurance pricing such as generalized linear models, generalized additive models, Bayesian models, neural networks, classification and regression trees, random forests, gradient boosting machines and support vector machines. Moreover, we present unsupervised learning methods applied to telematics car driving data.

Verantwortlich für Pricing, Data Analytics, Accounting & Controlling

Verantwortlich für Pricing & Data Analytics

In my first position I've been responsible for the motor pricing, including calculating the tariff, portfolio monitoring and profitability reviews, as well as analytical support in projects. In my new position at the Advanced Pricing Lab I will focus on new pricing techniques (as telematics) and transversal topics over different lines of businesses

I've been working as a statistical consultant, aminly for PhD students from different areas, supporting them with the statistical analyses and implementation in different kind of software. Furthermore I have done several data analyses for clients and educated students in the application of the statistical software SAS, R, SPSS and Systat.