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Position: Non-life Actuarial Data Scientist
Institution: Placement through Fenchurch Associates
Location: Switzerland
Duties: Develop the code, support actuarial testing and maintenance of the tools, enhancing automated flow of information for analytics; Develop data analyses and visualizations supporting the pricing and underwriting functions; Maintain and streamline dataflows into the Pricing Analtics database (PANEL); Expand the team’s scope into Specialty Insurance and Cat Analytics; Collaborate with the pricing community worldwide to develop and implement new ideas and contribute to the documentation inventory of the tools, become an enabler; Coordinate with stakeholders to ensure direct user feedback and findings from various sources are used to further enhance the systems
Requirements: Sound working knowledge with R, Python, Git and SQL and data visualization packages; Experience with Domino and Databricks platforms a plus; Excellent technical capabilities in statistical programming; Quantitative background, actuarial qualification is preferred Up to 5 years of experience in insurance/reinsurance; Experience of applying data science technologies in business
   
Text: Non-life Actuarial Data Scientist Develop the code, support actuarial testing and maintenance of the tools, enhancing automated flow of information for analytics; Develop data analyses and visualizations supporting the pricing and underwriting functions; Maintain and streamline dataflows into the Pricing Analtics database (PANEL); Expand the team’s scope into Specialty Insurance and Cat Analytics; Collaborate with the pricing community worldwide to develop and implement new ideas and contribute to the documentation inventory of the tools, become an enabler; Coordinate with stakeholders to ensure direct user feedback and findings from various sources are used to further enhance the systems Sound working knowledge with R, Python, Git and SQL and data visualization packages; Experience with Domino and Databricks platforms a plus; Excellent technical capabilities in statistical programming; Quantitative background, actuarial qualification is preferred Up to 5 years of experience in insurance/reinsurance; Experience of applying data science technologies in business
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