Key duties (including, but not limited to) :
* You have the objective of optimising reserving & technical performance insights through fixing legacy data shortcomings and building actuarial datasets in a flexible and consistent approach
* Ensuring the actuarial analysis remains credible with the highest level of data quality possible and enhanced collaboration with other data consumers (pricing, claims, data)
* Actively contribute to defining and refining the actuarial data landscape and tools, in the context of the company-wide data approach
* Stay abreast of uses of data in actuarial analysis, machine-learning techniques, AI applications and proactively test new approaches for discussion with the relevant corporate actuaries
Qualifications required :
* Academic degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science or a related field
Experience required :
* 2 – 3 years of relevant professional experience in the field of data science and ideally, a solid understanding of actuarial loss reserving
* Profound experience in data analysis with high fluency in SQL, Python and experience in Cloud Computing (e.g. Azure)
* Expertise in data visualisation with Business Intelligence tools such as Tableau, SAP Analytics Cloud or Power BI
* Fluent in English, additional languages are a plus
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