Predictive Modeler at AAA-The Auto Club Group in Dearborn, MI

Summary: AAA The Auto Club Group is seeking a Predictive Modeler to join their team. The role involves designing, building, testing, and validating predictive models to support business decisions and drive profitable growth. The Predictive Modeler will analyze data, create visualizations, and present findings to management while contributing to the improvement of analytics methods. Responsibilities: - Under supervision design, use knowledge and experience to design, build test, validate and implement moderate pricing, reserving, operational and financial predictive models to drive profitable growth, fight fraud and make sound business decisions - Conduct routine requisite analyses, using a variety of statistical analysis techniques including data mining, research and analysis - Research and incorporate relevant external data sources into the analysis process - Understand and analyze insurance, banking and/or other risk factors using mathematical and computational concepts to create models - Transform raw data into actionable business information and solutions - Work on modeling assignments while modifying existing models to address and resolve business issues or concerns - May lead small projects - Provide technical and quantitative support to formulate, test, interpret validate and maintain mathematical ratemaking, reserving, operational and financial models that contribute to meeting business and product line goals - May create visualizations and dashboards of cause and effect relationships and big data sets into user-friendly, easy to understand presentations - Present results and recommendations to internal department management and business line leadership/contacts - Use prescribed guidelines or policies to analyze and resolve problems - Create and maintain detailed documentation of analytics projects - Assist management and departmental team in improving methods, analysis and data gathering techniques - Develop programs and procedures for users outside of the team - Demonstrate knowledge and skills within assigned discipline - Maintain up-to-date knowledge of industry research, developments, changing trends and jurisdictional issues Required Qualifications: - Bachelor's degree in Mathematics, Actuarial Science, Statistics or a related field - One year of statistical/predictive modeling or related experience, to include: Exploratory data analysis, Conducting statistical analysis, business analytics and/or related working with very large data, and building predictive modeling, Using tools and techniques for data manipulation and statistical analysis programming (e.g., SAS, SQL, R, Python, etc.) in support of advanced analytics, Utilizing desktop computing skills, including use of one or more word-processing, spreadsheet (e.g., Microsoft Excel) and presentation graphics (e.g., Microsoft PowerPoint, Prezi) software programs, Manipulating data in preparation for modeling exercise, Producing and compiling reports, Formulating and interpreting mathematical models, Analysis of technical studies and data and draw sound conclusions - Analyzing requests for information to determine required data - Manipulating data in preparation for modeling exercise - Utilizing, reviewing and documenting internal automated systems, programs and processes - Performing research and statistical analysis to complete assignments - Knowledge of PC software applications (e.g. Word, Excel, PowerPoint, Access, etc.) - Predictive modeling techniques and principles - SAS, SQL, Python, R or similar data mining application - Solid understanding of programming, database and data mining principles - Research and utilize new programming and modeling techniques - Apply new statistical procedures - Create advanced programs from ground up - Teach analysts within and outside of the team to utilize new advanced analytics techniques - Make oral presentations to business units - Represent the department on inter-department teams - Produce and compile reports - Perform analyses of automated/manual systems and processes - Analyze and solve business problems - Demonstrate strong analytical and problem-solving skills - Present information from research and statistical analysis to enhance corporate decision-making process - Support multiple projects simultaneously and work well in a team environment - Research and utilize new programming and data mining techniques - Communicate effectively with others in a work environment both orally and in writing Preferred Qualifications: - Master's degree in Mathematics, Actuarial Science, Statistics or a related field - One year of insurance-related statistical/predictive modeling experience - Experience in personal lines Property and Casualty with specific focus on actuarial research - Predictive modeling in insurance environment - Experience with Google Cloud Platform - Experience using AI in predictive modeling or forecasting Required Skills: Predictive modeling techniques, Statistical analysis, Data manipulation, SAS, SQL Important Skills: R, Python, Mathematical modeling, Data mining Nice-to-Have Skills: Analytical skills Benefits: 401k Match, Medical, Dental, Vision, PTO, Paid Holidays, Tuition Reimbursement