Find & Apply For Fraud Examiner / Analyst Jobs In Miami-Dade, Florida
Fraud Examiner / Analyst jobs in Miami-Dade, Florida involve investigating financial fraud, analyzing data, and preparing reports. Professionals in this field collaborate with law enforcement, attorneys, and other stakeholders to uncover fraudulent activities. They must possess strong analytical skills, attention to detail, and the ability to communicate findings effectively. Below you can find different Fraud Examiner / Analyst positions in Miami-Dade, Florida.
Jobs in Miami-Dade
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.
Bank Project / AML Project
Robert Half
Miami-Dade, FL
BSA Analyst
Interamerican Bank
Miami-Dade, FL
AML Analyst
Fintrust Connect
Miami-Dade, FL
BSA Analyst
Banesco
Miami-Dade, FL
BSA Analyst
New Edge Associates A Talent Acquisition Firm
Miami-Dade, FL
Latest Jobs in Miami-Dade
Salary Information & Job Trends In this Region
Fraud Examiners / Analysts in Miami-Dade, Florida play a crucial role in investigating and preventing fraudulent activities within organizations. - Entry-level Fraud Examiner salaries range from $45,000 to $55,000 per year - Mid-career Fraud Analyst salaries range from $60,000 to $75,000 per year - Senior-level Fraud Investigator salaries range from $80,000 to $100,000 per year The history of Fraud Examiners / Analysts in Miami-Dade, Florida dates back to the early days of white-collar crime detection, with a focus on uncovering financial discrepancies and fraudulent schemes. As the field of fraud examination has evolved, technology has played a significant role in enhancing investigative techniques, with advanced data analytics and forensic accounting methods becoming commonplace in detecting fraud. Current trends in Fraud Examination in Miami-Dade, Florida include a shift towards proactive fraud prevention measures, increased collaboration with law enforcement agencies, and the utilization of artificial intelligence and machine learning algorithms to identify patterns of fraudulent behavior.
