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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.
No degree needed for many routes
AI impact: high£££ payDirect entry route
65
AI impact
how much AI is reshaping it
Robin · your guide
Curious about being a financial analyst? Here's the honest picture - what you'd really do, what you'd earn, and every way in. No need to decide anything yet.
What you'd actually do
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.
1Conduct thorough financial analysis to assess the performance of investments and identify trends.
2Prepare detailed financial reports and presentations for stakeholders and management.
3Monitor economic and market trends to provide actionable insights and forecasts.
4Collaborate with cross-functional teams to support budgeting and financial planning processes.
5Evaluate financial risks and opportunities to guide strategic decision-making.
6Utilize financial modeling techniques to predict future revenue and expenses.
7Engage with clients and investors to discuss financial strategies and outcomes.
Career progression & pay
01
Getting in
Junior Financial Analyst
£25,000 - £30,000
BSc in Mathematical Sciences, Finance, or related field
In this entry-level role, you will assist senior analysts in data collection and analysis, gaining hands-on experience in financial reporting and modelling.
02
Building up
Mid-level Financial Analyst
£40,000 - £50,000
3-5 years experience + professional certification (e.g., CFA or CIMA)
As a mid-level analyst, you will take on more complex projects, lead financial modelling efforts, and provide strategic insights to management.
03
At the top
Senior Financial Analyst/Head of Financial Analysis
£70,000+
10+ years experience, chartered status (e.g., ACA, ACCA)
In this peak career stage, you will oversee financial analysis teams, drive strategic financial initiatives, and play a key role in executive decision-making.
Degrees that lead here via Finance & Accounting
Degree options are mapped from subjects - explore the buckets to find related courses.
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Who hires - top UK employers
Deloitte
A leading global provider of audit, tax, consulting, and financial advisory services, known for its commitment to professional development.
PwC
One of the largest professional services networks in the world, offering diverse career opportunities and a strong focus on training and development.
KPMG
A global leader in audit, tax, and advisory services, KPMG is renowned for its supportive work environment and career advancement opportunities.
EY
Ernst & Young is a multinational professional services firm that values innovation and offers extensive training programmes for its employees.
Barclays
A major global financial services provider, Barclays offers a dynamic environment for financial analysts to thrive and grow their careers.
AI & the future of this job
Financial analysis sits squarely in the crosshairs of AI disruption because so much of the junior workload, data gathering, ratio calculation, report drafting, and market scanning, is exactly what large language models and AI agents now handle faster and cheaper. Goldman Sachs, BlackRock, and major UK banks are already deploying AI tools that compress what once took a graduate analyst a week into a matter of hours. Entry-level roles are contracting noticeably, and firms are hiring fewer junior analysts while expecting the ones they do hire to operate at a higher level from day one. The profession is not disappearing, but it is restructuring rapidly around judgement, relationships, and the kind of contextual reasoning machines still get wrong.
Within 5 Years
Significant role contraction
By 2031, the number of entry-level financial analyst positions in the UK will have fallen meaningfully as AI handles screening, modelling templates, and first-draft commentary. Mid-level analysts will spend far less time building spreadsheets and far more time stress-testing AI-generated outputs, communicating findings to non-financial stakeholders, and making calls that require accountability. Firms will expect new hires to be productive faster, which raises the bar rather than lowers the headcount requirement at senior levels. Graduates entering now need to position themselves as interpreters and decision-makers, not data processors.
Within 10 Years
Restructured, leaner profession
By 2036, financial analysis will look more like a senior-heavy profession with a much thinner junior pipeline beneath it. AI systems will handle continuous portfolio monitoring, regulatory reporting drafts, and scenario modelling with minimal human input at the mechanical level. The analysts who thrive will be those embedded in client relationships, sector expertise, or strategic advisory work where trust, judgement, and communication carry the weight. Specialist niches such as infrastructure finance, ESG assessment, and emerging market risk will retain strong human demand because the data is messier and the stakes of a confident error are higher.
Within 20 Years
Deeply transformed, niche-led
By 2046, the financial analyst as currently understood will be a substantially different creature, closer to a financial strategist or investment director than to today's junior spreadsheet builder. Autonomous AI systems will manage routine portfolio surveillance, compliance checks, and quantitative modelling end to end. Human analysts will exist primarily to navigate ambiguity, manage institutional relationships, provide accountability that regulators require, and operate in domains where qualitative context matters enormously, such as geopolitical risk or early-stage venture assessment. The profession survives but at lower headcount and with a fundamentally different skill profile.
How to stay ahead
Develop genuine sector depth
Pick an industry, whether that is energy, healthcare, real estate, or technology, and build knowledge that goes beyond what any AI can scrape from public filings. Sector expertise means understanding operational realities, regulatory quirks, and the human dynamics behind corporate decisions, and that contextual judgement is precisely what AI still lacks. Analysts who are genuinely knowledgeable about a specific domain will be trusted over those who are generically competent.
Master AI tools rather than compete with them
Learn to use Bloomberg AI features, Python-based financial modelling libraries, and LLM-assisted research workflows so you can direct these tools purposefully rather than be replaced by someone who can. The most employable analysts in the next five years will be those who can audit AI outputs for errors, biases, and missing context rather than simply accepting them. This is a skill you can start building right now, before you even graduate.
Build communication and stakeholder skills
The tasks that AI struggles with most in financial analysis are persuading a sceptical board, navigating a client relationship under pressure, and translating complex risk into language a non-specialist can act on. Invest seriously in presentation skills, financial storytelling, and the ability to hold difficult conversations about uncertainty. These capacities become more valuable as AI absorbs the technical drudgework, not less.
Target qualifications that signal judgement
The CFA qualification, for all its rigour, signals something AI cannot credentialsafe you have sat with hard problems and reasoned through them under examination conditions. In the UK, the CFA, CAIA, or IMC alongside your degree sends a message to employers that you are serious about the analytical craft, not just the title. Pair this with real experience through placements or insight weeks where you can demonstrate decision-making, not just task completion.
How to get in - your routes
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