Full-Time Underwriting Assistant 2025-7473

Shift: Night Shift

The underwriting assistant is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets.

The candidate will provide analysis, process and normalize the data to ensure data integrity and will create queries, views and reports.

The candidate will review, input reinsurance submission data, set up the Property pricing models, create a comparison to the expiring contract wording, and document files in the directory after business is bound.

Communication with the underwriters is essential. Interpret data, analyze results, and provide ongoing reports.

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

Acquire data from primary or secondary data sources and maintain databases/data systems.

Identify, analyze, and interpret trends or patterns in complex data sets.

Filter and scrub data, and review reports and performance indicators to locate and correct code problems.

Locate and define new process improvement opportunities.

Technical Skills:

• Microsoft Excel (Required)
• VBA/Excel (Optional)
• SQL (Optional)
• Microsoft Access (Optional)
• Microsoft Office Suite (Optional)

Experience: At least one (2-3) year experience in Insurance industry (preferably with working knowledge in Property Insurance).

Technical expertise: regarding data models, database design, development, data mining and segmentation techniques.

Skills: Excellent communication and interpersonal skills, strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Knowledge: of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS, etc.).

Knowledge of and experience with reporting packages (Business Objects, etc.) and databases (SQL, etc.).

Expertise: in queries, report writing and presenting findings.

Education: Bachelor’s Degree in business, Computer Science, Mathematics, Economics, Information Management or Statistics.

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