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Munich Re is the world’s largest reinsurer and a leading provider of reinsurance solutions in the Middle East. Reporting to the Head of Data Analytics, the Junior Data Scientist will understand the Life & Health reinsurance business from Underwriting and Actuarial perspectives, ensuring an appropriate level of statistical significance in insights and help educate stakeholders in their interpretation of analsyses.
Company
Munich Re
Location
Dubai , United Arab Emirates
Your Job
Develop and maintain an understanding and a sound base knowledge of life & health insurance and reinsurance and the technical requirements for appropriate data management.
Automation of data extraction, developing data pipelines and data warehouse designs
Understanding advanced analytics and identifying potential business cases for its applications
Application of statistical and machine learning (supervised and unsupervised) methods
Interpretation of model outcomes in a business context and advanced data visualizations
Work with structured databases containing data from multiple sources, at various granular levels, to deliver good-quality analytics and visualization projects
Validate data to ensure confidence in data quality.
Assist team members in data extractions for ad-hoc projects to support proper risk management
Provide underlying technical support to the actuarial team in monthly reserving data preparation, and consolidations.
Create new or modify existing reports to address evolving needs.
Add more flexibility to the existing monitoring tools where required.
Analyze the root cause of performance movement through drill-down exercises.
Highlight data discrepancies and independently escalate with internal and external stakeholders describing underlying risks and reaching a successful and workable solution.
Drive automation of existing data processes to improve underwriting efficiency
Your Profile
1-2 years of experience as a working student or a data analyst preferably within the insurance/reinsurance/actuarial field.
Bachelor’s degree in Computer Science, Mathematics, Statistics, Actuarial Science, and/ or a comparable degree with a sound IT and mathematical background
A master’s degree in one of the mentioned subjects would be an advantage
Good knowledge of R, SAS, Power BI, Tableau, or Online insurance data platforms will be a strong advantage.
Experience in data warehouse architectures and ETL & CDC tools, such as Informatica, Azure Data Factory, or similar
Data modelling (understands transactional vs. analytical models, graphs structures, and document stores)
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