Find & Apply For Credit Analyst / Authorizer Jobs In Cumberland, Maine
Credit Analysts / Authorizers in Cumberland, Maine review credit applications, analyze financial information, and make decisions on credit worthiness. They assess risks, verify information, and approve or deny credit. These professionals play a critical role in protecting the financial interests of their organization. Below you can find different Credit Analyst / Authorizer positions in Cumberland, Maine.
Jobs in Cumberland
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.
Commercial Portfolio Manager II
M&T Bank
Cumberland, ME
Commercial Banking Portfolio Manager
Bangor Savings Bank
Cumberland, ME
Account Manager – Credit (3532)
Alliant Insurance Services
Cumberland, ME
Account Manager – Credit (3532)
Alliant Insurance Services
Cumberland, ME
Biodiversity Credits Manager
The Nature Conservancy
Cumberland, ME
Latest Jobs in Cumberland
Salary Information & Job Trends In this Region
Credit Analysts / Authorizers in Cumberland, Maine play a vital role in assessing and approving credit applications for individuals and businesses. - Entry-level Credit Analyst salaries range from $40,000 to $50,000 per year - Mid-career Credit Authorizer salaries range from $50,000 to $70,000 per year - Senior-level Credit Analyst salaries range from $70,000 to $90,000 per year The history of Credit Analysts / Authorizers in Cumberland, Maine can be traced back to the early days of banking when the need for assessing creditworthiness arose with the increase in lending activities. As the financial industry evolved over time, so did the role of Credit Analysts / Authorizers in Cumberland, Maine. With advancements in technology and changes in regulations, the job responsibilities expanded to include risk assessment, fraud detection, and compliance with industry standards. Current trends in the Credit Analyst / Authorizer field in Cumberland, Maine revolve around the use of data analytics and machine learning algorithms to streamline the credit evaluation process. Additionally, there is a growing emphasis on sustainability and ethical lending practices in response to changing consumer preferences and regulatory requirements.