Actuarial Data Scientist
vor 2 Wochen
You will be working within the Finance team supporting the Chief Actuary to develop the target actuarial data landscape, test and implement advanced data flows and machine-learning techniques for the purpose of optimising the loss reserving process and forecast technical performance across the full insurance scope.
**Ref: 27443**:
- ** Location**: Munich
- ** Category**: International
- ** Type**: Permanent
**Overview**:
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
**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
**Consultant**:
**Hayley Dunbar**:
**Business Director | International Actuarial**:
T: +44 (0)203 867 9827
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