Starte deine Karriere als Senior Actuarial Data Scientist bei SCOR in Köln

SCOR

Job Summary

As a Senior Actuarial Data Scientist in the Data Analytics Services (DAS) team of our Life & Health business unit, you apply your understanding for data and its meaning to life insurance to life insurance protection products to help internal and external clients of our Central Europe & Nordics markets make efficient use of that data and generate insight by use of state-of-the-art data manipulation, analysis and visualization techniques. Within the DAS team you will be responsible for delivering our data analysis offering to clients at highest quality standards, representing SCOR in the industry and with individual clients, developing our strategic service vision and exploring, implementing and reviewing new data sources and data science methods.

Key duties and responsibilities

You conduct experience studies and other data analyses, incl. data preparation and cleansing, as well as presentation of results to internal and external clients
You support product development and market teams as well as technical accounting and controlling departments with data, analyses, and tools
You develop our strategic data analysis service offering for internal and external clients and respective tooling requirements
You explore, implement and review new data sources and data science methods for the DAS team’s tasks
You lead multi-disciplinary, multi-team projects centred around data
You represent our CEN macro market in the global exchange of methods, data, and tools in SCOR’s data science community, and help adopting respective innovative solutions in our markets
You increase SCOR’s visibility in the industry and with clients as a data expert and solution provider

Required experience & competencies

Experience / Digital Competencies:

Multi-year specific work experience in (re)insurance with a focus on mathematics and/or statistics
Advanced knowledge of statistical and/or actuarial methods esp. with regard to data analytics/ data science
Very good knowledge in programming/ coding with R or Python
Advanced knowledge in dealing with various forms of insurance data incl. Big Data
Ideally, agile project management (e.g., SCRUM)

Personal Competencies:

Advanced communication skills
Advanced analytical and mathematical skills
Personal competencies according to company values

Required Education:

University degree/Master degree in Mathematics, Actuarial Science, equivalent other scientific discipline with strong mathematical focus
Membership in actuarial association/qualified as an actuary, preferably additional actuarial data science certification (e.g. CADS), or equivalent qualification.

SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – from Life & Health and Property & Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.

In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.

At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success.