Find & Apply For Insurance Underwriter Jobs In Shelby, Tennessee
Insurance Underwriter jobs in Shelby, Tennessee involve assessing insurance applications, analyzing risk factors, and determining coverage amounts and premiums. Underwriters must possess strong analytical skills, attention to detail, and excellent decision-making abilities. They work closely with insurance agents and clients to ensure accurate and fair insurance policies. Below you can find different Insurance Underwriter positions in Shelby, Tennessee.
Jobs in Shelby
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.
Construction CPP Renewal Underwriter
Amynta Group
Shelby, TN
Construction CPP Renewal Underwriter
Amynta Group
Shelby, TN
Commercial Underwriter III Full Remote
GPAC
Shelby, TN
Underwriter, CCL Loss Mitigation
First Horizon
Shelby, TN
Evaluate Products For Companies – $225/week
Unclassified
Shelby, TN
Latest Jobs in Shelby
Salary Information & Job Trends In this Region
Insurance Underwriters in Shelby, Tennessee assess risk and determine policy terms for clients seeking insurance coverage. - Entry-level Underwriter salaries range from $40,000 to $55,000 per year - Mid-career Underwriter salaries range from $55,000 to $70,000 per year - Senior Underwriter salaries range from $70,000 to $90,000 per year The role of the Insurance Underwriter in Shelby has roots stretching back to when the insurance industry began to formalize risk assessment and management strategies. Historically, these professionals have played a critical role in the financial security of individuals and businesses in the region. Over the years, the profession of Insurance Underwriting in Shelby has evolved significantly. Initially focusing on basic risk assessments, it has now incorporated advanced data analytics and modeling techniques to improve accuracy in policy pricing and risk selection. Current trends in the Insurance Underwriting field in Shelby include the increasing use of AI and machine learning to predict risk factors more accurately, the integration of real-time data for dynamic policy pricing, and a greater emphasis on personalized insurance products to meet diverse client needs.
