Find & Apply For Insurance Underwriter Jobs In Pinellas, Florida
Insurance Underwriter jobs in Pinellas, Florida involve evaluating insurance applications, determining coverage risks, and setting premium rates. Underwriters must analyze data, review policies, and communicate with agents. Strong analytical skills and attention to detail are essential for this role. Experience in insurance or finance is typically required for these positions. Below you can find different Insurance Underwriter positions in Pinellas, Florida.
Jobs in Pinellas
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Junior Health Insurance Underwriter
Integrity Marketing Group
Pinellas, FL
Commercial Lines Underwriter
Frank Winston Crum Insurance
Pinellas, FL
Commercial Underwriter III
Seacoast National Bank
Pinellas, FL
Personal Lines Renewal Associate Underwriter
Amwins Group
Pinellas, FL
Benefits Representative
Hire Standard Staffing
Pinellas, FL
Processing Assistant
Bridge Specialty Group
Pinellas, FL
Insurance Underwriter Energy Market
Diedre Moire
Pinellas, FL
Latest Jobs in Pinellas
Salary Information & Job Trends In this Region
Insurance Underwriters in Pinellas, Florida analyze insurance applications and determine coverage risks. - Entry-level Underwriter salaries range from $40,000 to $50,000 per year - Mid-career Insurance Analyst salaries range from $50,000 to $70,000 per year - Senior-level Risk Manager salaries range from $70,000 to $90,000 per year The role of Insurance Underwriter has a long history in Pinellas, Florida, dating back to the early days of the insurance industry in the region. As the insurance industry in Pinellas, Florida has evolved, Insurance Underwriters have adapted to new technologies and data analysis tools to assess risk more accurately and efficiently. Current trends in the Insurance Underwriting field in Pinellas, Florida include an increased focus on data analytics, automation in underwriting processes, and incorporating predictive modeling to assess risks more effectively.
