Program Underwriter: Growth & Risk Insights

Automatic Data Processing, Inc.; Charlotte (NC); Presencial; USD 70 000 - 100 000; Tempo integral

Resumo da oferta

Automatic Data Processing, Inc. in Charlotte, NC, is seeking a Program Underwriter to monitor underwriting and claims activity, ensure compliance, and provide analytical insights.

The role reports to the Underwriting Manager and interfaces with MGUs, reinsurers, and internal teams to drive growth and improve underwriting results. The ideal candidate brings 3–5 years of insurance experience, knowledge of underwriting tools, and the ability to work with large data sets to communicate quantitative

Qualificações

• 3–5 years of in-depth industry knowledge in the insurance market.
• Proficiency with underwriting tools, applications, and guidelines.
• Ability to analyze large data sets, analyze, process, visualize and communicate quantitative information.

Responsabilidades

• Perform catastrophe risk analyses, review, and verify results, and prepare the necessary reporting.
• Actively monitor metrics including but not limited to territory growth, retention, and profitability goals.
• Develop plans to engage the Managing General Agent, Claims Administrator, and Reinsurers.
• Maintain relationships with agencies, claims, and reinsurance partners.
• Conduct file audits to ensure underwriting practices are compliant with set policies.

Conhecimentos

Data analysis

Attention to detail

Teamwork

Time management

Communication

Formação académica

Bachelor’s degree in insurance or finance

CPCUAU CIC certification preferred

Ferramentas

MS-SQL Server

Underwriting tools

Descrição da oferta de emprego

Automatic Data Processing, Inc. in Charlotte, NC, is seeking a Program Underwriter to monitor underwriting and claims activity, ensure compliance, and provide analytical insights.

The role reports to the Underwriting Manager and interfaces with MGUs, reinsurers, and internal teams to drive growth and improve underwriting results. The ideal candidate brings 3–5 years of insurance experience, knowledge of underwriting tools, and the ability to work with large data sets to communicate quantitative