Credit Analyst

Credit analysts look at financial information to decide whether people or businesses are safe to lend money to. Banks and other lenders rely on you to work out the risks before they hand over hundreds of thousands of pounds.

Credit Analyst

60

Finance & Accounting

AI IMPACT
AI CAN DO60%moving to95%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£25,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
This work is being absorbed by AI
AI already does much of this work and nothing structurally requires a human: no licence, no physical task, no relationship at the core. Expect fewer people in higher-judgment roles: enter as the person directing the tools, not competing with them.

The role

As a credit analyst, you study financial documents to understand whether someone can pay back a loan. You read their bank statements, tax records, business accounts and other numbers to spot patterns and risks. Your job is to say 'yes, lend to them' or 'no, that's too risky', and the lender will listen to what you say.

Every day you will look at spreadsheets and reports, work out what the numbers mean, and write up your findings. You might analyse one small business trying to borrow money for new equipment, or look at a big company's finances over several years. You need to be thorough and spot small problems that others miss, because a mistake here can cost the lender a huge amount of money.

Daily responsibilities

  • Analyze financial statements and credit reports to assess the creditworthiness of clients.
  • Conduct detailed risk assessments and develop credit risk models.
  • Prepare comprehensive reports and present findings to management or lending committees.
  • Monitor and evaluate existing credit portfolios and recommend necessary adjustments.
  • Collaborate with sales and underwriting teams to ensure alignment on credit policies.
  • Stay updated on market trends, economic conditions, and regulatory changes affecting credit.
  • Communicate with clients to gather necessary financial data and clarify information.
  • Utilize financial software and tools to enhance analysis efficiency.

Does a degree help here?

A UK degree, especially in finance, economics, or business, provides candidates with a robust understanding of the local market dynamics and regulatory environment, giving them a competitive edge in this analytical field.

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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