Career card

Credit Analysts

Also called: Credit Administrator, Credit Analyst, Credit Officer, Credit Representative

Analyze credit data and financial statements of individuals or firms to determine the degree of risk involved in extending credit or lending money. Prepare reports with credit information for use in decisionmaking.

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Median pay BLS, 2025$83,510
Openings a year BLS, 2025–353,100
Typical education to start BLSBachelor's degree
AI exposure BLS, Aug 2026 Very high
Projected job growth BLS, 2025–35 -4.3%

What the data says: AI could halve the time on 9 of its 11 tasks, and jobs are projected to shrink 4.3% by 2035. In the most exposed occupations, the squeeze shows up first among early-career workers. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 1.4% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 4.3 hires for every 10 job openings in finance and insurance, which employs about 73% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 76% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$57k$133knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$79,970$63,950 to $110,920370
Alaska$81,340$59,470 to $81,34040
Arizona$77,020$63,870 to $95,2402,260
Arkansas$71,370$52,320 to $95,540300
California$97,860$76,380 to $138,7105,260
Colorado$81,270$70,300 to $110,100870
Connecticut$98,230$76,570 to $122,520560
Delaware$94,680$79,270 to $117,200720
District of Columbia$132,590$80,250 to $207,12050
Florida$78,360$62,460 to $97,5204,040
Georgia$77,990$62,400 to $100,5301,790
Hawaii$98,900$62,640 to $148,840130
Idaho$79,650$64,690 to $95,200330
Illinois$84,990$67,580 to $128,6603,130
Indiana$62,660$55,420 to $78,160860
Iowa$76,760$64,880 to $85,000480
Kansas$73,120$60,040 to $97,580520
Kentucky$79,290$63,750 to $101,950370
Louisiana$73,210$54,370 to $99,380290
Maine$81,750$64,470 to $96,410280
Maryland$75,390$59,320 to $97,580700
Massachusetts$97,080$74,110 to $131,0301,400
Michigan$74,640$61,520 to $82,0501,510
Minnesota$82,630$73,080 to $102,0301,110
Mississippi$74,880$59,750 to $105,730280
Missouri$65,350$60,400 to $83,7401,160
Montana$74,650$64,410 to $83,870190
Nebraska$79,730$64,040 to $98,700510
Nevada$73,090$60,150 to $98,550390
New Hampshire$77,980$65,430 to $111,100230
New Jersey$100,940$80,280 to $131,3201,220
New Mexico$72,160$59,590 to $88,89090
New York$133,270$99,210 to $202,3807,960
North Carolina$94,570$76,030 to $124,2703,270
North Dakota$74,810$59,450 to $94,530300
Ohio$79,720$62,390 to $101,9502,790
Oklahoma$75,330$57,570 to $97,980550
Oregon$80,380$74,000 to $102,000650
Pennsylvania$80,280$62,010 to $103,2101,930
Puerto Rico$51,920$47,320 to $76,260820
Rhode Island$85,920$70,790 to $104,310160
South Carolina$77,530$60,360 to $100,040690
South Dakota$73,040$58,690 to $96,810430
Tennessee$72,550$57,710 to $91,6901,480
Texas$78,730$60,920 to $101,0806,130
Utah$74,430$59,770 to $96,430750
Vermont$71,220$60,530 to $120,48090
Virginia$102,430$81,330 to $140,4902,460
Washington$91,160$73,190 to $119,6601,280
West Virginia$57,320$50,740 to $73,210220
Wisconsin$68,690$58,680 to $88,2701,770
Wyoming$62,210$50,800 to $75,85040

Nationally: $83,510. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 9 of its 11 tasks

2 · AI alone could halve the time 7 · AI + software built on it could 2 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money. under 0.01%
AI + software Generate financial ratios, using computer programs, to evaluate customers' financial status. Not published
AI + software Prepare reports that include the degree of risk involved in extending credit or lending money. under 0.01%
AI + software Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans. Not published
AI + software Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations. under 0.01%
AI alone Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval. Not published
See all 11 tasks
AI alone Consult with customers to resolve complaints and verify financial and credit transactions. Not published
AI + software Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity. 0.01%
AI + software Review individual or commercial customer files to identify and select delinquent accounts for collection. Not published
Not much Confer with credit association and other business representatives to exchange credit information. Not published
Not much Contact customers to collect payments on delinquent accounts. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 4 of the 11 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 11 tasks fall under 12 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up9 of 11 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 12 activities
  • #3 Respond to customer problems or inquiries
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Analyze business or financial data 14#73 3.50#106
Respond to customer problems or inquiries 879#3 1,565#1
Analyze market or industry conditions 14#70 6.73#74
Prepare documentation for contracts, applications, or permits 9.38#94 1.90#132
Advise others on financial matters 5.30#122 15#53
Analyze business or financial risks 4.49#135 2.10#127
Examine financial activities, operations, or systems 4.17#141 1.18#156
Analyze data to improve operations 3.31#159 1.09#162
Show all 12 activities
Evaluate condition of financial assets, property, or other resources 3.25#161 1.33#147
Coordinate activities with clients, agencies, or organizations 2.97#168 2.18#124
Prepare financial documents, reports, or budgets 2.96#169 0.55#196
Collect fares or payments 0.57#265 0.03#289
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Prepare financial documents, reports, or budgets” holds 1 task rated AI + software, yet people asked AI for help with it in 2.96 of every 10,000 conversations, #169 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • A plan or strategy21%
  • A document or report20%
  • An analysis or summary18%
  • A chart or visualization9%
  • Data or a spreadsheet9%

How they worked with Claude

50% handed the task off50% worked on it together

33% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for credit analysts specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Credit analysts: -4.3%Credit AnalystsAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Credit analysts: -4.3%Credit Analysts

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 39,636 moves out

  1. 1 Financial Managers Very high +9.7% 7%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 6%
  3. 3 First-Line Supervisors of Office and Administrative Support Workers Very high +0.1% 5%
  4. 4 General and Operations Managers High +5.0% 5%
  5. 5 Financial Analysts (2010 group) an older group BLS has since split; no exposure group today 5%

Where people moved in from

of 34,564 moves in

  1. 1 First-Line Supervisors of Office and Administrative Support Workers Very high +0.1% 7%
  2. 2 Bookkeeping, Accounting, and Auditing Clerks Very high -5.6% 6%
  3. 3 Customer Service Representatives Very high -5.3% 5%
  4. 4 Financial Managers Very high +9.7% 5%
  5. 5 Loan Officers Very high +1.1% 5%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 95% bachelor's
  • 5% master's

O*NET 31.0 survey of workers in this occupation · 20 people answered.

Census survey (American Community Survey)

  • 1% less than high school
  • 11% high school
  • 10% some college
  • 4% associate's
  • 58% bachelor's
  • 14% master's
  • 1% professional degree

Census ACS 2024, all workers in this occupation · 399 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Programs that prepare people for it (NCES)
4 programs, such as Accounting, Finance, General and Credit Management.
See all
  • Accounting
  • Finance, General
  • Credit Management
  • Financial Risk Management

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS · Brynjolfsson, Chandar and Chen, Stanford (Aug 2026)

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