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.
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.
Credit analysts has ai exposure of 56%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
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
Occupation Insight
Credit analysts (SOC 13-2041) carries an AI exposure score of 56%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an 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 economic context matters alongside the risk score. BLS counted approximately 67,800 workers in this occupation in 2024, and projects a -4.4% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $80,970, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Bachelor's degree, plus None of related experience.
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. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
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.
Related Occupations
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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).