76
/100

SOC 13-2041

Credit Analysts

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

76/100

High Risk

US Employment

๐Ÿ‘ฅ

67,370

Total workers

Median Wage

๐Ÿ’ฐ

$81K

$53K โ€“ $169K

Projected Growth

๐Ÿ“ˆ

-4.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Credit Analysts face a risk score of 76/100 โ€” 32 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $81K ($35K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 76/100, Credit Analysts faces significant automation pressure. Key threats include automated financial reporting and reconciliation and ai credit scoring and underwriting models. The 67,370 Americans in this role should actively develop skills in navigating regulatory ambiguity and compliance judgment and stakeholder management in complex organizational settings to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Credit Analysts?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated financial reporting and reconciliation

2

AI credit scoring and underwriting models

3

AI-generated written content replacing manual drafting

4

Chatbot displacement of customer-facing interactions

5

Generative AI producing marketing and creative copy

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating regulatory ambiguity and compliance judgment

โœ“

Stakeholder management in complex organizational settings

โœ“

Ethical judgment in fiduciary and advisory roles

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.

โ€ข

Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval.

โ€ข

Generate financial ratios, using computer programs, to evaluate customers' financial status.

โ€ข

Prepare reports that include the degree of risk involved in extending credit or lending money.

โ€ข

Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.

๐Ÿ’ป Technology Skills

โ€ข

Information retrieval or search software

โ€ข

Financial analysis software

โ€ข

Document management software

โ€ข

Content workflow software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Economics and Accounting

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Law and Government

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$81K
+$35K

National avg: $46K

Risk Score76/100
+32

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-4.4%
-8.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K65%
Lawyers, Judges, and Related Workers17$144K63%
Education Administrators, All Other21$89K55%