Predictive Modeler

AAA-The Auto Club Group

1d•$90,000 - $100,000•Hybrid

About The Position

Predictive Modeler – The Auto Club Group What you will do: 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.

Requirements

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
Skills and Ability to: 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

Nice To Haves

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

Responsibilities

design, build test, validate and implement moderate pricing, reserving, operational and financial predictive models
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
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
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
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