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Predictive Modeler

 

Are you:

  • Are you looking for a fast-paced and fun, entrepreneurial working environment?

  • Are you analytically gifted and devoted to the science and art of predictive analytics?

  • Do you desire to grow your skills sets and develop leadership and teamwork abilities?

If so, Valen Technologies wants you to help us achieve our vision: Valen Technologies will revolutionize the Property and Casualty Insurance Industry, enabling step-function value-advances in insurance decisioning and operations. We will do this through the smart and expert integration of industry leading, cutting-edge, advanced predictive modeling and analytics into the insurance policy booking, underwriting, pricing, and claims operations processes.  We are a venture capital backed, growth-stage company with a rapidly growing client base, including two of the top ten insurance carriers in the United States.

 

Basic Qualifications:

  • Master's degree or higher in Statistics or related stochastic modeling field
  • 2+ years experience of hands-on advanced, multivariate statistical model development
  • Highly proficient in SQL and SAS programming and relational database querying and data manipulation
  • Strong conceptual thinking skills
  • High degree of initiative and personal ownership
  • Solid communication skills
  • Strong drive for results, demonstrating project discipline and timeline management
  • Highly collaborative with a strong team focus

 

Qualification Pluses:

  • Commercial P&C modeling experience solving underwriting, rating, and claims business problems
  • SAS and R GLM modeling
  • Knowledge and experience working with outside data vendors

                                                                

Responsibilities include:

  • Participate in client interactions to identify the business problem
  • Design analytic/modeling solutions for P&C insurance business problems
    Collaborating with others to shape data, modeling, implementation, and monitoring requirements
    Develop predictive models using company accepted methodologies and tools
  • Develop modeling tool advancements over time
  • Present modeling approach and results to clients
  • Fully document all data and modeling choices, rationale, and results
    Monitor model performance and make model adjustments, refresh, and rebuild recommendations, as needed
  • Identifying areas for continuous improvement and research

 

The opening is in Denver, Colorado, and will require occasional travel to clients, prospects, and partners.