SUMMARY

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; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff). In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals.

RESPONSIBILITIES/TASKS:

Responsibilities will be multi-disciplinary and will include:

• Provides technical and quantitative analysis for predictive modeling group.
• Assists in statistical data mining and actuarial research by applying advanced statistical concepts.
• Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.
• Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.
• Conducts research utilizing predictive modeling.
• Interprets data and identifies correlations using both univariate and multivariate analysis.
• Participates in and is responsible for advanced projects.
• Presents findings and recommendations to appropriate groups.
• Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.
• Communicates and trains users on model results.
• 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.
• Document model requirements.
• Examine and analyze data to determine optimal modeling approach.
• Identify candidate risk factors.
• Build models using training, test, and cross-validation data sets.
• Share model results.
• Finalize model.
• Delivers conclusions.
• Deploy and maintain models with or without the assistance of the IT department

EDUCATION:

Bachelor’s degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company’s learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.

EXPERIENCE:

With proper education credentials, no experience is required; however, workers compensation, predictive modeling and actuarial experience are preferred.

WORKING CONDITIONS:

Work is performed in an office setting with no unusual hazards. Minimal travel may be required.

PAY RANGE

Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $57,400 and $96,200

We are an Equal Opportunity Employer.  Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis.  Nothing herein is intended to create a contract.

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