Actuarial Jobs, Actuarial Positions, and Actuarial Employment
Actuarial Jobs, Actuarial Positions, and Actuarial Employment
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Job ID: 33958
Job Openings by Title Actuarial - Modeling Data Engineer
Location Ohio, United States
Description:
Position:	Actuarial - Modeling Data Engineer

Company:	Insurance

Location:	Ohio

Job ID:		33958


Responsibilities:

- Support predictive analytics efforts in small business, loss control, premium audit, claims, commercial lines and personal lines.
- Produce actuarial/modeling analyses related to premium adequacy, rate adequacy, competitive market position, model bias, residual lift, etc.
- 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 data sets from a variety of internal and external sources.
- Gain high-level knowledge of actuarial techniques for rate-making and insurance modeling. 
- Explore new data systems as they become available and document the contents and limitations of each.
- Develop, maintain, improve, and document code, macros, and databases used within the Predictive Analytics unit.
- Contribute to discussions with IT regarding architectural design of data systems, representing the needs of Predictive Analytics.
- Gain expertise in all data systems available to Predictive Analytics and understand the contents and limitations of each.
- 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.
- Help to 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:

- bachelor’s degree in a quantitative field.
- Three-five 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 and writing SAS code; other programming languages, such as Java or C#;  R and/or Python; Hadoop file system; CFC data sources, such as Reporting Systems, eCLAS, Diamond, AMPS, CMS, BW, PAD.
- Ability to: quickly understand and assess data structures; work both independently and as part of a team; solve problems systematically and creatively; research data contents, evaluate data quality, scrub data and validate results; write business requirements and to relate business and actuarial needs to data construction and coding requirements; articulate complex technical concepts to non-technical clients.
- Have a thorough understanding of insurance concepts and P/C insurance products.
- Have excellent documentation standards and communication skills.


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