Modeler
3 days ago
RMS is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world. RMS models and services are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide range of natural and man-made perils, from earthquakes and hurricanes to terrorism and disease pandemic.
**Job description**
**The incumbent of this role will be primarily responsible for**:
- Interpreting data, analyzing results using statistical techniques and interpret trends or patterns in complex data sets.
- Developing, describing, analyzing, and validating datasets
- Verifying and correcting data using models, and reports
- Implementing, upgrading, and help in developing data management and visualization tools by providing detailed specifications
- Locate and define new process, improvement opportunities and quality improvement areas.
- Presenting the findings, preparing technical reports, and making suitable recommendations.
- Communicate quantitative and qualitative findings to the development team based on test results.
- Ensure that the final product satisfies the product requirements and meet end-user expectations.
- Researching and mining socio-economic and engineering information related to insured properties in different countries.
- Research the current market for similar products and compare results.
**Requirements**:
**Mandatory**:
- Tech / M. Tech or Postgraduate in fields including Data Analytics, Data Science, Applied Mathematics, and Statistics having 3+ years of experience or PhD
- Strong knowledge of MS SQL should be able to write complex queries
- Knowledge of Excel and Python or R
- Strong data analysis and interpretation skills
- Understand business needs and objectives
- Build processes to transform raw data into actionable business insights
- Attention to detail
- Strong documentation skills with experience of working on MS Word, PowerPoint
- Excellent written and verbal communication skills.
- Self-driven, independent, detail oriented, innovative, quick learner, critical thinker, and a team player.
**Preferable**:
- Knowledge of statistics and experience using statistical packages for analyzing datasets
- Knowledge or experience in Property Insurance or Reinsurance sector
- Experience in data mining, statistical modelling, or catastrophe modeling domain
- Knowledge of ETL tools like SSIS
- Knowledge of spatial data analytics
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