Credit Analysts

Moderate Risk
Low High

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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
3.0/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

48% (Moderate Risk)

Moderate Risk (41-60%): This occupation may be meaningfully affected by automation. Some parts of the role may be suitable for AI, software, or robotics, while others still rely on human skill, judgement, trust, or real-world context. People in this range may benefit from building skills that complement automation and reduce replacement risk.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Decision-making and problem solving

Very important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
Jobs that also use this strength

Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
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What users think

Based on 220 votes

72% chance of full automation within the next two decades

Our visitors have voted that it's probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 48% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Credit Analysts will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

High paid relative to other professions

In 2024, the median annual wage for Credit Analysts was $80,970 ($39 per hour).

The median annual wage for Credit Analysts was 63.6% higher than the national median annual wage, which stood at $49,500.

View wage trend

Wages over time

* Data from the Bureau of Labor Statistics

Growth

Very slow growth relative to other professions.

The number of 'Credit Analysts' job openings is expected to decline 4.4% by 2034

View employment trend

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Moderate range of job opportunities compared to other professions

As of 2024 there were 67,370 people employed as 'Credit Analysts' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 2 thousand people are employed as 'Credit Analysts'.

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What people are saying (4)

Ray (Highly likely)
15 May 2024 03:03
Human is reading data and providing a score. AI can do this much quicker.
S. (Uncertain)
20 Feb 2023 22:58
Financial markets are based on irrational behaviours. If you systematically make it rational through the precise use of AI, the there would not be any mispricing to exploit, hence how will money be made in a perfectly rational market harmonised by AI (i.e. the best recommendations will all be the same for all investors, reaching either fair value or expensiveness very quickly)?
Dicky Irawan (Uncertain)
07 Oct 2019 02:44
Credit Analysis is a job field that has a broad range object of analysis, which are debtors. Some debtors, like individuals and small business can have simpler analysis tools than the more elaborate small-medium enterprises or even corporation. AI trends can go either way, depending on the types of debtors a group of credit analysts work on.
jimmy C. (Highly likely)
24 Jan 2023 14:00
You don't need a 3rd party or extra human to do what an Excel sheet can do in 5 mins, as long as the programmer (which is an accountant or someone good in math) have coded most required variables.
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Job description

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.

O*NET-SOC code: 13-2041.00