Predictive Modeling and Data Analytics Lead

Country Financial   •  

Bloomington, IL

8 - 10 years

Posted 295 days ago

This job is no longer available.


  • Directs and leads department decisions and actions with respect to the following:
     - Serves as a resource for best practices/quality on functional teams or projects. Works independently, with guidance in only the most complex situations. 
     - Trains, guides, and mentors other professionals or colleagues with less experience. Determines methods and procedures on new assignments and may coordinate activities of other personnel.
     - Maintains current market knowledge and awareness of key industry trends in pricing/product segmentation and predictive modeling through primary and secondary research and attendance at analytical and industry
     - Researches, develops and helps implement innovative pricing models based upon sophisticated predictive modeling/multivariate analysis.
     - Directs adoption of predictive modeling methods to study client retention and conversion of quotes to new business issued; uses results to influence rating, underwriting and sales decisions.
     - Develops companywide rating plans and recommended rating factors, based upon predictive modeling and data mining techniques.
  • Produces segmentation models for P/C loss costs or retention.
  • Performs highly analytical ad hoc projects especially as they relate to actuarial segmentation (territory, credit, underwriting scoring, evaluation of 3rd party vendor data).
  • Networks on project implementation with key contacts IT, underwriting, actuarial, external vendor, or others.


Required Qualifications:

  • Bachelor’s degree with a strong emphasis on actuarial science, mathematics, finance or otherquantitative field (or the equivalent in related work experience).
  • Eight years of Property/Casualty Insurance experience (or 6 years with an advanced degree), including five years in a pricing, product management or predictive analytics capacity (or the equivalent) and at least one year in a lead role.
  • In-depth knowledge of Property/Casualty ratemaking theories, principles, and practices.
  • Proven communication, interpersonal and collaboration skills to work effectively with various and diverse internal personnel and external contacts.
  • Proficiency in multiple tools and techniques typically employed in predictive analytics (see supplement)

Preferred Qualifications:

  • Advanced degree (MS or PhD) in quantitative field such as mathematics, statistics, or econometrics, or data science.
  • Experience working in SAS, R, EMBLEM.
  • Experienced in multi-departmental projects.
  • Demonstrated ability to manage periods of high pressure and shifting priorities to develop rates, perform studies, make recommendations and implement projects on short notice

Physical Requirements:

  • Work may extend beyond normal business hours as business needs dictate.

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