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Data collection and preparation for further analysis and modelling
Develop and update statistical models for Motor products using advanced statistical techniques like GLM and ML approach
Analysis of classification based on technical features
Demand models with application of different algorithms
Tariff definition/revision based on evidence from statistical models
Assessment on a regular basis of the quality and correctness of the models
Data exploration to improve model predictiveness
Update of the portfolio analysis with the main KPIs to monitor the acquired portfolio
Data processing to support standard portfolio or ad hoc simulation and monitoring analysis
Requirements:
Master's degree in Statistics, Mathematics, Actuarial, Physics or Computer Science
Python, Sas\Sql
Office
Strong analysis, problem-solving, and communication skills
Curious about new approaches and committed to continually increase technical knowledge
Team spirit, self-motivation, and a proactive result-driven working style as well as ability to interact in a global work environment with people from different countries and cultures