Statistical Modeler

  • 33286
  • Non-Life - Actuarial
  • |
  • New Jersey, United States
  • |
  • Jan 31, 2018
  • Assist in coordinating, preparing and performing predictive analytics analyses and modeling services to help improve the business results. Communicate results to other business units
  • Provide consultation & clarification on predictive analytics & modeling techniques, methodologies, models & risk issues
  • Perform complex analysis of insurance data and provide detailed business intelligence findings to the stakeholders to facilitate the development of insurance/reinsurance business solutions- Work with stakeholders to obtain a good -understanding of the needs of the business and the types of analysis that support business goals.
  • Determine and implement requirements for development of standard data sets that will be used for data analysis and data mining.
  • Develop and maintain databases and programs to manage data analysis efforts.
  • Ensure data integrity to verify the accuracy of the datasets managed by organization.
  • Perform sensitivity analyses of key model parameters and assumptions.
  • Apply predictive modeling using statistical and data mining methods.
  • Prior experience of insurance data manipulation and analytics experience including business intelligence, data mining, modeling, and/or using predictive analytics tools
  • Minimum Bachelor's degree in Statistics, Mathematics, Actuarial Science or related field
  • CAS exams passed/actuarial experience is preferred
  • Prior experience working with SQL
  • Prior experience working with R, SAS, or other statistical program languages
  • Strong analytics and problem-solving capabilities required
  • Good communication skills to effectively explain analysis, both verbally and in writing, to others and translate analysis into a clear business plan
  • Strong time management and organizational skills to gather and make use of data