Actuarial Data Scientist

vor 2 Wochen


Munich, Deutschland Emerald Group Vollzeit

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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