Career profile · live from the Careermash careers engine
Advice / persuasion / influence

Finance and Investment Analysts and Advisers n.e.c.

Finance and investment analysts study markets and give advice on where to invest money. They help people and businesses make smart choices about savings and investments by understanding financial data and economic trends.
No degree needed for many routes
AI impact: high£££ payDirect entry route
63
AI impact
how much AI is reshaping it
Robin · your guide
Curious about being a finance and investment analysts and advisers n.e.c.? 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 finance and investment analyst or adviser, you help people and businesses decide how to invest their money. You study financial data using specialist software, watch market trends, and work out what might happen next. Then you talk to clients about their goals - whether they want to save for a house, plan for retirement, or grow their business - and suggest strategies that suit them.

Your days are varied. You analyze numbers and reports, talk to clients about their finances, and stay up to date on what is happening in the markets. You work with accountants, legal advisors, and other finance professionals to give clients complete advice. The job needs strong maths skills, the ability to explain complex ideas simply, and genuine interest in helping people make good financial decisions.

1Conduct detailed financial analysis to assess investment opportunities and risks.
2Prepare comprehensive reports and presentations for clients and stakeholders.
3Monitor market trends and economic indicators to inform investment strategies.
4Collaborate with clients to understand their financial goals and tailor investment plans.
5Utilize financial modeling and forecasting techniques to predict future financial performance.
6Engage with regulatory requirements and compliance to ensure adherence to financial laws.
7Provide ongoing portfolio management and review to optimize client investments.

Career progression & pay

01
Getting in

Junior Finance Analyst

£26,000 - £32,000
A degree in finance, economics, or a related field; relevant internships or work experience.
In this entry-level role, you will assist senior analysts in conducting research and preparing reports. You will gain hands-on experience in data analysis and client interaction, laying the foundation for your career in finance.
02
Building up

Finance Analyst

£42,000 - £52,000
A degree in finance or economics; professional qualifications such as CFA or CIMA are advantageous; several years of relevant experience.
As a mid-level analyst, you will take on more responsibility, managing client relationships and leading projects. You will be expected to provide strategic insights and contribute to the development of investment strategies.
03
At the top

Senior Finance Adviser

£75,000+
Extensive experience in finance; advanced qualifications such as CFA or an MBA; strong leadership and client management skills.
In this senior role, you will lead a team of analysts, oversee major client accounts, and shape the strategic direction of investment portfolios. Your expertise will be critical in guiding clients through complex financial landscapes.

Degrees that lead here via Finance & Accounting

Degree options are mapped from subjects - explore the buckets to find related courses.

Apprenticeships that lead here

Who hires - top UK employers

Barclays
A leading global bank offering a wide range of financial services.
HSBC
One of the largest banking and financial services organisations in the world.
Lloyds Banking Group
A major UK financial services group providing a wide range of banking and insurance services.
JP Morgan
A global leader in financial services offering solutions in investment banking, asset management, and more.
Goldman Sachs
A leading global investment banking, securities and investment management firm.

AI & the future of this job

Finance and investment analysts sit squarely in the crosshairs of AI disruption because so much of their core work, screening securities, building models, drafting client reports, and scanning economic data, is exactly what large language models and specialist financial AI tools do well and fast. Entry-level analyst roles are already contracting as banks and asset managers deploy AI to handle the grunt work that used to occupy two years of a graduate's life. The roles that survive and grow are those requiring genuine client relationships, nuanced judgement under uncertainty, and the ability to translate complex outputs into accountable advice. This is a field where the ceiling remains high but the floor is rising rapidly, and graduates who treat AI as a co-pilot rather than a threat will outperform those who do not.
Within 5 Years
Significant role restructuring
By 2031, AI platforms will handle the majority of quantitative screening, standard financial modelling, and first-draft report generation across most institutional finance teams. Graduate intake at major banks and asset managers is already being trimmed, and that trend will deepen. Analysts who remain will be expected to spend more time on client-facing work, stress-testing AI outputs, and applying contextual judgement rather than building models from scratch. The job is not disappearing but it is being redefined faster than most degree programmes have caught up with.
Within 10 Years
Leaner, higher-skilled workforce
By 2036, the traditional pyramid of junior analysts feeding work up to senior advisers will look fundamentally different, with far fewer junior seats and a greater expectation that even early-career professionals operate with strategic autonomy. AI will be embedded in every part of the workflow, from real-time portfolio monitoring to regulatory compliance checking, leaving humans to focus on client trust, ethical oversight, and decisions that carry personal accountability. Specialists in alternative assets, climate finance, and emerging market complexity will likely fare better than generalist analysts. Those who have built a track record of sound judgement, rather than just technical execution, will be most valuable.
Within 20 Years
Transformed but resilient specialism
By 2046, AI will almost certainly be the primary engine of financial analysis at scale, with human analysts acting more like editors, relationship managers, and decision-validators than traditional number-crunchers. The profession will not vanish, because money, risk, and accountability are deeply human concerns that clients and regulators will continue to demand human ownership of. However, the total headcount in the field relative to assets under management will likely be a fraction of today's levels. Those who survive will be highly skilled, well-networked professionals whose value lies in trust, creativity, and the ability to navigate genuinely novel situations that no model has been trained on.
How to stay ahead
Get fluent in financial AI tools now
Platforms like Bloomberg GPT, Kensho, and AI-augmented Excel environments are already live in major institutions. Learning to interrogate, validate, and critique AI-generated financial outputs is a more bankable skill than being able to produce those outputs manually. Treat every model you build as practice for understanding what AI will eventually produce and where it will go wrong.
Pursue a professional qualification alongside your degree
The CFA, CAIA, or IMC are credentials that signal depth of financial understanding beyond what any AI tool can claim. Employers increasingly use these qualifications as filters precisely because the market is flooded with graduates who have generic finance degrees. Starting CFA Level 1 in your final undergraduate year is a serious competitive signal.
Build genuine client-facing and communication skills
The tasks AI cannot reliably replace are reading a room, earning trust, and translating complex uncertainty into advice a real person can act on. Seek out placements, pro bono financial advisory work, or university investment societies where you practise explaining financial thinking to non-specialists. This is the skill that will define seniority in the AI era.
Specialise in a domain where context and relationships matter most
Generalist analyst roles face the steepest automation pressure, while specialists in areas such as infrastructure finance, impact investing, private credit, or family office advisory retain strong human-judgement requirements. Identifying a specialism early, ideally one tied to sectors undergoing structural change like energy transition or UK pension reform, gives you a defensible niche that pure AI output cannot easily replicate.

How to get in - your routes

Careermash · your kind of work, the careers in it, and every route in - all in one place.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

© 2026 Careermash. A concept for secondary schools.