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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.”

Financial Quantitative Analysts Credit Analysts
Median pay · BLS OEWS
$80,190
$80,970
Employment · BLS OEWS
127,450
67,370
AI exposure (percentile) · task overlap, not automation
79th pct
55th pct

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 .

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

Related occupations you can place side by side on the same sourced scale.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

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

APA

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

BibTeX
@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.