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Sr Predictive Modeler

 

Are you:

  • Entrepreneurial, market and results focused, taking initiative in an unstructured environment and influencing positive change
  • Team-oriented, collaboratively supporting and enabling the success of others
  • Direct, an effective and direct communicator, challenging ideas while remaining open-minded, valuing diversity of thought
  • Able to Wow, creative and innovative, a true problem-solver, generating new and exciting ideas and high-value solutions
  • Principled, honest, demonstrating integrity and trust, and assuming positive intent
  • Fun, willing to be the real you, and have fun doing it. Ready to work hard and play hard

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
  • 3+ years experience of hands-on P&C insurance advanced, multivariate statistical model development, delivery, implementation, and monitoring
  • 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, client interaction, and presentation skills
  • Strong drive for results, demonstrating project discipline and timeline management
  • Highly collaborative with a strong team focus

 

 Preferred Qualifications:

  • Commercial P&C modeling experience solving underwriting, rating, and claims business problems
  • Actuarial studies in credibility theory, GLM, Bayesian statistics, and loss frequency and severity distribution families
  • Actuarial knowledge of loss, exposure, and premium adjustments and trending, and understanding of deductible, excess loss and reinsurance concepts
  • R packages for actuarial, GLM, and other insurance models
  • Experimental design and sampling expertise
  • SAS report design and coding
  • Knowledge and experience working with outside data vendors
  • Consulting company experience

                                                                

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
  • Analyze data, peer review modeling work, and assess model quality
  • 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
  • Creating key statistical/data strategies for insurance lines of business, influencing business decisions, and driving great time to market

 

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