Find & Apply For Credit Analyst / Authorizer Jobs In Shelby, Tennessee
Credit Analysts / Authorizers in Shelby, Tennessee analyze financial data to determine creditworthiness and authorize credit limits for individuals or businesses. They evaluate credit applications, review financial statements, and assess risk levels to make informed decisions. Strong analytical skills and attention to detail are essential for success in this role. Below you can find different Credit Analyst / Authorizer 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.
Senior Credit Analyst
Unclassified
Shelby, TN
Manager, Credit Specialist
KPMG
Shelby, TN
Assistant Credit Manager
Bestway Rent To Own
Shelby, TN
Credit Analyst
GPAC
Shelby, TN
Fully Remote Credit Analyst I Opportunity
GPAC
Shelby, TN
Senior Credit Analyst, Mortgage Warehouse Lending
First Horizon
Shelby, TN
Bilingual Assistant Manager – Credit
Rent-A-Center
Shelby, TN
Credit Manager
Orgill
Shelby, TN
Latest Jobs in Shelby
Salary Information & Job Trends In this Region
Credit Analysts / Authorizers in Shelby, Tennessee play a crucial role in assessing creditworthiness and authorizing credit transactions. - Entry-level Credit Analyst salaries range from $35,000 to $45,000 per year - Mid-career Credit Authorizer salaries range from $45,000 to $60,000 per year - Senior-level Credit Analyst salaries range from $60,000 to $85,000 per year The history of Credit Analysts / Authorizers in Shelby, Tennessee traces back to the early days of banking when individuals were appointed to assess credit risks and authorize lending decisions. Over time, the role of Credit Analysts / Authorizers has evolved to incorporate advanced financial analysis tools and techniques, as well as compliance with regulatory guidelines to ensure responsible lending practices. Current trends in the field of Credit Analysis / Authorization in Shelby, Tennessee include the use of predictive analytics, machine learning algorithms, and automation to streamline credit decision-making processes and mitigate risks effectively.
