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Job Summary
- Company
- Analytic Recruiting, Inc.
- Location
- Chicago, IL
- Industries
- Insurance
- Job Type
- Full Time
- Employee
- Years of Experience
- 7+ to 10 Years
- Education Level
- Bachelor's Degree
- Career Level
- Experienced (Non-Manager)
- Salary
Competitive comp- Job Reference Code
- DB269-19031
Sr Predictive Modeler, Insurance Analytics - Chicago
About the Job
Keywords: insurance, property, casualty, analytics, predictive modeling, consulting, financial, finance, statistics, statistical modeling, SAS, GLM, CART, SPSS, Matlab, macros, credit, scoring, credit scoring, logistic regression, regression, cluster, principal components, analysis, fraud, identity, information
Role:
Financial information company is seeking a very experienced modeler for its Insurance Analytics group who will utilize advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
Requirements:
• 8 or more years of relevant work experience including 3 years of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required.
• Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation.
• Programming experience with SAS (STAT, macros, EM) and other statistical software (R, CART, SPSS, Matlab). UNIX experience is a plus. Emblem experience is a plus.
Salary: Competitive comp
Refer to Job#19031-Monster and send word attached resume to Donna Bacon, donna@analyticrecruiting.com or register online at www.analyticrecruiting.com choosing Donna Bacon as your contact.
Role:
Financial information company is seeking a very experienced modeler for its Insurance Analytics group who will utilize advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
Requirements:
• 8 or more years of relevant work experience including 3 years of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required.
• Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation.
• Programming experience with SAS (STAT, macros, EM) and other statistical software (R, CART, SPSS, Matlab). UNIX experience is a plus. Emblem experience is a plus.
Salary: Competitive comp
Refer to Job#19031-Monster and send word attached resume to Donna Bacon, donna@analyticrecruiting.com or register online at www.analyticrecruiting.com choosing Donna Bacon as your contact.
