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Job ID: 34070
Job Openings by Title Data Engineer
Location Japan
Description:
Position:	Data Engineer

Company:	Reinsurance

Location:	Japan

Job ID:		34070

Responsibilities:

- Business requirement definition, data cleansing, developing and maintaining databases, testing and quality controlling, web scraping, modeling and visualization amongst others.
- Work with internal and external parties to set and define data requirements.
- Development and maintenance of databases and data sets used in the product development and pricing process.
- Data cleansing, testing and validation.
- Creation of new insights and knowledge based on thorough and deep statistical analysis of data.
- Support experience and data analysis to support the Japan pricing team in setting assumptions for new product pricing.
- Extract and analyze data to fulfill regular or ad hoc requests.
- Work with internal data scientists on more advanced statistical analysis e.g. predictive analysis on an ad hoc project basis.
- Development of reports, presentations and data visualizations to clearly articulate results and data insights.
- Communicate results of analysis with various stakeholders as and when required.

Qualifications:

- Advanced PC and technical skills, including web scraping and statistical programs via CUI, spreadsheets, SQL and database applications.
- Ability to develop/administer databases.
- Ability to explain about a model/structure.
- Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions.
- Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives and effectively communicate findings with management.
- Ability to handle multiple projects simultaneously.
- Knowledge of PC system environment, Web and Cloud.
- Japanese - Native level.
- Preferred:
- Connection to a society of data engineers/scientists.
- Proven abilities with Cython, Spark and GPGPU.
- Investigative, analytical and problem solving skills.
- Knowledge in statistics and/or math.
- Knowledge of actuarial concepts including mortality, morbidity, and persistency studies.
- Knowledge of life, health, and/or annuity products.
- Knowledge of insurance risk analysis is advantageous.



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