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Finance & LegalStable

Fraud Examiner, Investigators and Analysts

Mid-level

Also known as: AML Analyst (Anti-Money Laundering Analyst), AML Consultant (Anti-Money Laundering Consultant), AML Investigator (Anti-Money Laundering Investigator), AML Operations Analyst (Anti-Money Laundering Operations Analyst)

Finance & LegalBachelor's Degree

Job Description

Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.
Fraud InvestigationForensic AccountingFinancial ForensicsRisk ManagementFinanceLegal StudiesCriminal JusticeAnalysisBusiness Administration

Skills employers are looking for in 2027

Software and technologies flagged by O*NET as Hot or In-Demand for this role.

In-demand software
Microsoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft WordStructured query language SQL

Job Outlook 2025-2035

Projected growth

+4.1%

US average: +3.5%

Job openings

9,400

per year (US)

Jobs today

137,800

in 2025 → 143,400 (2035)

Typical entry education

Bachelor's degree

Source: U.S. Bureau of Labor Statistics, Employment Projections; O*NET Bright Outlook.

Work Environment

How this work is typically performed, based on O*NET work context data.

Email & digital communication
High
Working in a team
High
Contact with others
High
Freedom to make decisions
High
Time pressure
Moderate
Time spent sitting
High
Working outdoors
Low
Indoor, climate-controlled
High
Dealing with customers
Moderate
Level of competition
Moderate

Source: O*NET Work Context (v31.0)

Future Perspective

Stable Job Market

This field maintains steady employment levels with consistent demand. Job opportunities remain available with moderate competition.

Impact of AI on this Job

AI will significantly transform this career by automating routine data analysis, identifying patterns, and flagging suspicious transactions more efficiently. This shifts the human role towards more complex investigations, strategic oversight, and interpreting nuanced data that AI cannot fully grasp. The need for human judgment in complex fraud cases, ethical considerations, and direct testimony will remain critical.