Financial Quantitative Analysts vs Credit Analysts
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Financial Quantitative Analysts and Credit 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 Quantitative Analysts | Credit Analysts |
|---|---|---|
| Median pay | $80,190 | $80,970 |
| Employment | 127,450 | 67,370 |
| Employment outlook (2024–34) · BLS projection | About average (+3.1%) | Declining (-4.4%) |
| Annual openings · BLS projection | 10,300 | 3,700 |
| Typical education · O*NET | Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). | Most of these occupations require a four-year bachelor's degree, but some do not. |
| AI exposure · published exposure studies | High · 79th pct | Moderate · 55th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 82nd pct · 45% of tasks | 99th pct · 62% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (52.7%) | Automation-leaning (35.4%) |
| 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: Mathematics, Mathematics, Mathematical Reasoning, Economics and Accounting, Critical Thinking, Reading Comprehension, Written Comprehension, Complex Problem Solving, Oral Comprehension, Written Expression, Deductive Reasoning, Number Facility, Active Listening, Speaking, Active Learning, Judgment and Decision Making, Oral Expression, Problem Sensitivity, Inductive Reasoning, Information Ordering, Computers and Electronics, Fluency of Ideas, Writing, Speech Recognition, Speech Clarity, Near Vision, Systems Analysis, Category Flexibility, Selective Attention, English Language, Monitoring, Social Perceptiveness, Time Management.
Specific to Financial Quantitative Analysts
- Systems Evaluation
- Persuasion
- Originality
- Learning Strategies
- Coordination
- Instructing
- Negotiation
Specific to Credit Analysts
- Law and Government
- Service Orientation
- Administrative
- Flexibility of Closure
- Perceptual Speed
- Customer and Personal Service
- Administration and Management
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: Object or component oriented development software , Spreadsheet software , Office suite software , Presentation software , Development environment software , Analytical or scientific software , Data base user interface and query software , Business intelligence and data analysis software , Financial analysis software , Enterprise resource planning ERP software .
Specific to Financial Quantitative Analysts
Full profiles
This page is a summary. See the complete source-backed profile for Financial Quantitative Analysts or Credit Analysts — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
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- Financial Quantitative Analysts vs Operations Research Analysts
- Financial Quantitative Analysts vs Investment Fund Managers
- Financial Quantitative Analysts vs Statistical Assistants
- Financial Quantitative Analysts vs Business Intelligence Analysts
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 Quantitative Analysts vs Credit 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-quantitative-analysts-vs-credit-analysts
Singulariki. (2026). Financial Quantitative Analysts vs Credit Analysts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/financial-quantitative-analysts-vs-credit-analysts
@misc{singulariki-financial-quantitative-analysts-vs-credit-analysts,
title = {Financial Quantitative Analysts vs Credit 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-quantitative-analysts-vs-credit-analysts}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.