Predictive Modeling Analyst
Accident Fund - Lansing, MI

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Summary of the position

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The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models and requires the ability to interact, understand and articulate the complex mathematical and computational learning concepts

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The Predictive Modeling Analyst develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.

Major Responsibilities:
Responsibilities will be multi-disciplinary and will include:
Provide technical and quantitative analysis for the predictive modeling group.

Assist in statistical data mining and other analytical research by applying advanced statistical concepts.

Use computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.

Participate in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.

Conduct research utilizing predictive modeling.

Interpret data and identify correlations using both univariate and multivariate analysis.

Participate in and is responsible for advanced projects.

Present findings and recommendations to appropriate groups

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Prepare and deliver summary reports to the relevant or affected areas within the company. Help to determine what actionable steps can be taken based on the findings.

Communicate and train users on model results.

Job Qualifications:
Requirements:
Successful candidate will have a Bachelor’s degree in insurance, math, economics, or computer science. Advanced degree in statistics, actuarial science, or applied mathematics preferred.

Candidate must have at least 4 years of insurance, research, modeling or actuarial experience required. Demonstrated ability in statistical modeling and data mining techniques (GLM, clustering, decision trees, etc). Workers compensation insurance experience preferred.

Strong understanding of modeling software and data manipulation techniques.

Strong understanding of insurance related modeling and data.

Strong project management skills.

Ability and proficiency in the use of computers and company standard software specific to position.

General familiarity with the following software: Business Objects or Cognos, SAS, R, Rate Assessor, SQL.

Strong database management skills.

Knowledge of insurance and underwriting techniques, agency and policyholder needs.

Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.

Ability to exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.

Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.

Accident Fund - 18 months ago - save job - block