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Job ID: 33960
Job Openings by Title Actuarial - Predictive Modeler II
Location Ohio, United States
Description:
Position:	Actuarial - Predictive Modeler II

Company:	Insurance

Location:	Ohio

Job ID:		33960

Responsibilities:

- Support reporting and predictive analytics efforts in commercial lines, personal lines, loss control, premium audit and claims.
- Produce actuarial/modeling analyses related to premium adequacy, rate adequacy, competitive market position, model bias, residual lift, etc.
- Gain high-level knowledge of actuarial techniques for ratemaking and insurance modeling.
- Gain expertise in all data systems available to Predictive Analytics and understand the contents and limitations of each.
- Explore new data systems as they become available and document the contents and limitations of each.
- Design and implement data cleansing processes.
- understand the data needs of predictive modelers and work with them to determine appropriate data sources; and to construct appropriate queries, code, and/or databases to obtain, scrub, aggregate and deliver the relevant data.
- Establish and maintain periodically updated datasets from a variety of internal and external sources.
- Develop, maintain, improve, and document code, macros, and databases used within the Predictive Analytics unit.
- Establish and maintain libraries of optimized code for common tasks.
- Re-engineer low-efficiency processes through the practice of continuous improvement.
- Develop prototype reports to meet the needs of various departments for modeling output, and work with Business Intelligence to transition reports to production.
- Assist with the evaluation of external data sources.
- Serve as an advisory resource for modelers to learn about data sources.
- Plan and facilitate working sessions with cross-functional teams to accomplish goals.
- Contribute to discussions with IT regarding architectural design of data systems, representing the needs of Predictive Analytics.
- Support modelers’ use of modern modeling tools such as R and Python, and modern data storage and acquisition systems such as Hadoop and Spark.

Qualifications:

- Advanced degree in statistics, mathematics, economics, actuarial science or other related fields.
- Graduate degree or Ph.D. is highly preferred.
- At least three years of highly technical experience at a property/casualty insurance company.
- Desire to learn about the business of insurance, actuarial science and predictive analytics.
- Proficiency with Microsoft® Excel.
- Experience with VBA, SQL, writing SAS code, R and/or Python and Hadoop file system.
- Experience with other programming languages, such as Java or C#.
- Experience with data sources, such as Reporting Systems, eCLAS, Diamond, AMPS, CMS, BW, PAD.
- Ability to quickly understand and assess data structures.
- Ability to work both independently and as part of a team.
- Ability to solve problems systematically and creatively.
- Ability to research data contents, evaluate data quality, scrub data and validate results.
- Ability to write business requirements and to relate business and actuarial needs to data construction and coding requirements.
- Ability to articulate complex technical concepts to non-technical client.
- Thorough understanding of insurance concepts and P/C insurance products.
- Excellent documentation standards and communication skills.
 



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