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Financial Analyst

Financial analysts look at money and numbers to help companies and investors make good decisions. They study accounts, markets, and trends to spot where to invest money and where there might be risks.

Financial Analyst

60

Finance & Accounting

AI IMPACT
AI CAN DO60%moving to95%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£25,000 - £30,000
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 financial analyst, you spend your time reading financial reports and spotting patterns in the numbers. You might look at how much a company has earned, what it spent, and what it might earn next. You then write reports and tell business leaders what you've found so they can decide where to put their money.

Most of your day is spent in an office using computer software to look at data and build spreadsheets. You work with other finance staff and managers, asking them questions to understand what they need to know. You point out the good opportunities and the risks, and explain your findings in a way that makes sense to people who aren't experts in numbers.

Daily responsibilities

  • Conduct thorough financial analysis to assess the performance of investments and identify trends.
  • Prepare detailed financial reports and presentations for stakeholders and management.
  • Monitor economic and market trends to provide actionable insights and forecasts.
  • Collaborate with cross-functional teams to support budgeting and financial planning processes.
  • Evaluate financial risks and opportunities to guide strategic decision-making.
  • Utilize financial modeling techniques to predict future revenue and expenses.
  • Engage with clients and investors to discuss financial strategies and outcomes.

Does a degree help here?

A UK degree, particularly in Mathematical Sciences or Finance, provides a robust foundation in analytical skills and quantitative reasoning, which are essential for success as a Financial Analyst. UK universities are renowned for their rigorous academic standards and industry connections, giving graduates a competitive edge in the job market.

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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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