Find & Apply For Fraud Examiner / Analyst Jobs In Jefferson, Alabama
Fraud Examiner/Analyst jobs in Jefferson, Alabama require analyzing financial records, detecting fraudulent activities, and preparing legal documents. Responsibilities include conducting investigations, collaborating with law enforcement, and presenting findings. Key qualifications include a bachelor's degree in accounting or finance, strong attention to detail, and experience in fraud detection. Below you can find different Fraud Examiner/Analyst positions in Jefferson, Alabama.
Jobs in Jefferson
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.
Detection & Investigation Associate (Sunday-Thursday 8:30am-5:00pm EST)
PNC
Jefferson, AL
AML/BSA Special Risk Analyst – ISO/TPPP (Onsite/Hybrid/Remote – within AL, FL, GA, SC or TN)
Synovus
Jefferson, AL
Detection & Investigation Analyst Lead – (Monday-Friday 8:30AM-5:00PM EST) Zelle
PNC
Jefferson, AL
Detection & Investigation Analyst Lead – (Monday-Friday 8:30AM-5:00PM EST) Zelle
PNC
Jefferson, AL
Detection & Investigation Analyst Lead – (Monday-Friday 3:00PM-12:00AM EST) Cyber Fraud
PNC
Jefferson, AL
Detection & Investigation Analyst Lead
PNC
Jefferson, AL
Detection & Investigation Analyst Lead
PNC
Jefferson, AL
Latest Jobs in Jefferson
Salary Information & Job Trends In this Region
Fraud Examiners and Analysts in Jefferson, Alabama play a critical role in detecting and preventing financial crimes. - Entry-level Fraud Analyst salaries range from $40,000 to $55,000 per year - Mid-career Fraud Examiner salaries range from $55,000 to $75,000 per year - Senior Forensic Accountant salaries range from $75,000 to $100,000 per year The role of the Fraud Examiner in Jefferson has its roots in the broader field of financial oversight, which has been crucial for maintaining integrity within businesses and public institutions. The profession has seen significant evolution with the incorporation of advanced data analysis tools and techniques, transforming how financial fraud is detected and investigated. Recent trends in the sector include the increasing use of artificial intelligence and machine learning to predict and identify fraudulent activities, as well as a growing emphasis on cybersecurity measures to protect sensitive financial data.
