Financial Examiners vs Fraud Examiners, Investigators and Analysts
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Financial Examiners and Fraud Examiners, Investigators and Analysts on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Financial Examiners | Fraud Examiners, Investigators and Analysts |
|---|---|---|
| Median pay | $90,400 | $80,190 |
| Employment | 62,830 | 127,450 |
| Employment outlook (2024–34) · BLS projection | Growing fast (+18.5%) | About average (+3.1%) |
| Annual openings · BLS projection | 5,700 | 10,300 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most of these occupations require a four-year bachelor's degree, but some do not. |
| AI exposure · published exposure studies | Moderate · 45th pct | High · 79th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 99th pct · 62% of tasks | 82nd pct · 45% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (67.4%) | Augmentation-leaning (54.9%) |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: English Language, Written Comprehension, Reading Comprehension, Critical Thinking, Oral Expression, Deductive Reasoning, Inductive Reasoning, Economics and Accounting, Active Listening, Writing, Speaking, Oral Comprehension, Written Expression, Problem Sensitivity, Near Vision, Monitoring, Complex Problem Solving, Judgment and Decision Making, Speech Recognition, Speech Clarity, Information Ordering, Mathematics, Active Learning, Social Perceptiveness, Coordination, Time Management, Management of Personnel Resources, Instructing, Law and Government, Mathematics, Flexibility of Closure, Selective Attention, Administration and Management, Service Orientation.
Specific to Financial Examiners
- Category Flexibility
- Systems Analysis
- Systems Evaluation
- Mathematical Reasoning
- Learning Strategies
- Number Facility
Specific to Fraud Examiners, Investigators and Analysts
- Computers and Electronics
- Customer and Personal Service
- Education and Training
- Persuasion
- Negotiation
- Public Safety and Security
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Word processing software , Data base user interface and query software , Document management software , Process mapping and design software , Object or component oriented development software , Enterprise resource planning ERP software , Information retrieval or search software .
Specific to Financial Examiners
Specific to Fraud Examiners, Investigators and Analysts
Full profiles
This page is a summary. See the complete source-backed profile for Financial Examiners or Fraud Examiners, Investigators and Analysts — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Financial Examiners vs Accountants and Auditors
- Financial Examiners vs Compliance Managers
- Financial Examiners vs Credit Analysts
- Financial Examiners vs Treasurers and Controllers
- Financial Examiners vs Financial Risk Specialists
- Financial Examiners vs Financial Managers
- Financial Examiners vs Financial and Investment Analysts
- Financial Examiners vs Credit Authorizers, Checkers, and Clerks
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Financial Examiners vs Fraud Examiners, Investigators and Analysts." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/financial-examiners-vs-fraud-examiners-investigators-and-analysts
Singulariki. (2026). Financial Examiners vs Fraud Examiners, Investigators and Analysts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/financial-examiners-vs-fraud-examiners-investigators-and-analysts
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title = {Financial Examiners vs Fraud Examiners, Investigators and Analysts},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/financial-examiners-vs-fraud-examiners-investigators-and-analysts}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.