Credit analysts
SOC Code: 13-2041
Credit analysts carries a 56% AI exposure score (High automation risk), with a median annual wage of $80,970 and -4.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 67,800 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 56% AI exposure, Credit analysts sits 19 points above the 37.2% average across 832 U.S. occupations - more exposed than 92% of them. Most of its core tasks still require human judgment.
Career outlook score
35/100
Credit analysts, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage B+ $80,970
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -4.4%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 56% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Credit analysts in the High band.
Credential × growth standing
Bachelor's band with mid-pack BLS pace
Credit analysts shares the Bachelor's gate with 178 peer occupations and lands in Slow growth (245 of 832). Neither the rarest nor the most crowded growth shelf - use wage and AI desks on this page for the differentiator.
Where Credit analysts sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Credit analysts sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
56% Higher than most higher than 92% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Credit analysts vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Credit analysts is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Credit analysts's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 13-2041) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Credit analysts be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Credit analysts. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.
- 2. Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval.
- 3. Generate financial ratios, using computer programs, to evaluate customers' financial status.
- 4. Prepare reports that include the degree of risk involved in extending credit or lending money.
- 5. Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.
- 6. Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations.
- 7. Contact customers to collect payments on delinquent accounts.
- 8. Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.
- 9. Review individual or commercial customer files to identify and select delinquent accounts for collection.
- 10. Confer with credit association and other business representatives to exchange credit information.
Key Skills Required
- Critical Thinking
- Reading Comprehension
- Speaking
- Active Learning
- Active Listening
- Mathematics
- Writing
- Judgment and Decision Making
- Monitoring
- Social Perceptiveness
Knowledge Areas
- Economics and Accounting
- Mathematics
- English Language
- Law and Government
- Administrative
- Customer and Personal Service
- Computers and Electronics
- Administration and Management
- Production and Processing
- Education and Training
Frequently Asked Questions
Will AI replace Credit analysts?
Credit analysts has an AI exposure score of 56%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Credit analysts?
According to BLS Employment Projections 2024-2034, Credit analysts is projected to decline by 4.4% over the decade. Current employment stands at approximately 67,800 workers.
What skills are needed for Credit analysts?
Key skills for Credit analysts include Critical Thinking, Reading Comprehension, Speaking, and others. Typical entry-level education is Bachelor's degree.
How much do Credit analysts earn?
The median annual wage for Credit analysts is $80,970, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Credit analysts?
The typical entry-level education for Credit analysts is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Credit analysts?
Credit analysts roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Credit analysts: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (56% here).
- Air traffic controllers · AI exposure 56%
- Customer service representatives · AI exposure 56%
- Legal secretaries and administrative assistants · AI exposure 56%
- News analysts, reporters, and journalists · AI exposure 56%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-4.4% here).
- Woodworkers, all other · growth -4.4%
- Tailors, dressmakers, and custom sewers · growth -4.5%
- Separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders · growth -4.3%
- Fishing and hunting workers · growth -4.6%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 13 occupations with a comparable automation-risk profile.
What to do with this
Use Credit analysts' numbers above to compare, not just read in isolation.
- Compare Credit analysts side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).