Underwriting Service Specialist-Mid (Night Shift)
AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.
Work closely with the Retail Energy underwriting and actuary teams to intake, organize and analyze submission data to create the most optimal rates for the business unit. We provide a broad array of specialized products and services to the energy industry. These policies generally cover general liability, automobile, workers compensation and lead umbrella.
The Underwriting Service Specialist will help underwriters and actuaries analyze insurance submissions. They will review the applicants’ data (the “submission”); clean, organize and capture data such as class, historical exposures, loss runs, pricing, etc. to refine our target rates. This candidate will get a better understanding of how we underwrite and price business.
Responsibilities:
- Review insurance submission documents and data for eligibility and completeness.
- Organize submission data into categories based on class, exposure, losses, pricing, etc.
- Work with Retail Energy underwriters to learn key information we need to collect.
- Use the information collected from submissions and work with the Actuarial Department to refine target pricing strategy.
- Strong math and analytical skills
- Excellent problem-solving ability
- Excellent proficiency with MS Excel & ability to apply it
- Organized & methodical approach to tasks
- Ability and willingness to learn
- Collaborative teammate with positive attitude
TECHNICAL SKILLS
Technical Skills Proficiency Level Required (R) /Optional (O)
Microsoft Excel 3 R
Microsoft Word 3 R
- BS in Business, Finance, Accounting, Engineering, Mathematics, Economics, Information Management, Statistics, Computer Science, or related discipline