Verisk Analytics-posted 3 days ago
Full-time • Entry Level
Middletown, CT
5,001-10,000 employees

We seek to fill a position on the MarketStance Data Team, transforming dozens of disparate data sources into a model of the U.S. economy and commercial insurance market. Your strong proficiency (2-3 years) programming in Microsoft SQL Server or similar relational database tool, interest in learning and applying knowledge about the U.S. commercial market, and great problem-solving skills in a scientific, mathematical, or analytical field outside of insurance will lead to success in this position.

  • Operate and maintain data modeling and manipulation routines in a Microsoft SQL Server environment, predominantly consisting of Transact-SQL scripts and relational database objects
  • Create data models, metadata, and conduct quality assurance for MarketStance products and consulting projects
  • Leverage knowledge of U.S economy to inform exposure estimates o Employ dozens of government, industry regulator, and private firmographic datasets o Understand strengths, limitations, and scope of various data sources
  • Develop advanced understanding of insurance industry coverages, rating components, buying propensity, loss modeling, and regulation o Conduct secondary research related to commercial insurance o Leverage the world's largest repository of premium and loss data to assess market conditions and enhance MarketStance's product suite
  • Present research findings and data for internal and external clients
  • Enjoy breadth of exposure and strategic influence over projects
  • Undergraduate degree in a strong research and problem-solving field—economics, natural sciences, math/statistics, or computer science
  • Experience writing queries with MS SQL Server or another relational database tool
  • Excellence in technical/analytical writing
  • Ability to work both collaboratively and independently, but without task-to-task oversight
  • Ability to work tasks and projects with which you have little or no prior expertise or familiarity
  • MS Excel
  • MS PowerPoint
  • Actuarial, underwriting, or research experience in insurance, particularly commercial lines
  • MS SQL Server Integration Services
  • R or SAS
  • Python
  • Experience with open-source GIS software and libraries
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