UK

United Kingdom · Finance · Mid-Level (2-5 years)

Research Analyst

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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One email: what AI is changing in this job, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Analyst or Portfolio Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Mid-Level Investment Analyst · Equity Analyst · Fixed Income Analyst · Credit Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

iCQ Level 3 Certificate in Providing Financial Services iCan Qualifications Limited · Level 3 · covers 3 of 10 standards
CISI Level 3 Certificate in Investment Operations Chartered Institute for Securities & Investment · Level 3 · covers 2 of 10 standards
CISI Level 3 Certificate in Securities Chartered Institute for Securities & Investment · Level 3 · covers 2 of 10 standards
CISI Level 4 Diploma in Investment Advice Chartered Institute for Securities & Investment · Level 4 · covers 2 of 10 standards
City & Guilds Level 3 Award in Providing Financial Services City & Guilds Limited · Level 3 · covers 2 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Preparing and presenting investment market information to stakeholders iCQ Level 3 Certificate in Providing Financial Services
Global Securities Operations CISI Level 3 Certificate in Investment Operations
Securities CISI Level 3 Certificate in Securities
Derivatives CISI Level 4 Diploma in Investment Advice
Investment Business: Strategy, Clients and Commercial Performance CFA UK Level 3 Award in Investment Business: Strategy, Clients and Commercial Performance

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Change Fluency taking people through change
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Your Plan Illustration

Built for Research Analyst

5 units that map to this job, from the qualifications that cover it.

  1. Preparing and presenting investment market information to stakeholders iCan Qualifications Limited · covers 3 of 10 standards Level 3
  2. Global Securities Operations Chartered Institute for Securities & Investment · covers 2 of 10 standards Level 3
  3. Securities Chartered Institute for Securities & Investment · covers 2 of 10 standards Level 3
  4. Derivatives Chartered Institute for Securities & Investment · covers 2 of 10 standards Level 4
  5. Investment Business: Strategy, Clients and Commercial Performance CFA Society of UK · covers 1 of 10 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Research Analyst?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration
  • Alternative Data Analysis
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Research Analyst plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

A research analyst studies companies, markets and economic trends to find investment opportunities. The work means looking past the numbers to find the story behind them. You take on a specific patch of the market and become the person others turn to for a view on it.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Bloomberg Terminal Intermediate

Pulling historical financial data (HP), running equity screens (EQS) to find comparable companies, analysing company fundamentals (FA), and monitoring real-time news flow (TOP) for your covered universe.

FactSet / Refinitiv Eikon Intermediate

Using screening tools to identify potential investment ideas, pulling company filings and transcripts, and building basic financial models using the Excel plug-in for deeper analysis.

BlackRock Aladdin / Charles River IMS Basic

Entering trade orders as directed by Portfolio Managers, running pre-trade compliance checks to ensure adherence to fund mandates, and generating basic portfolio holding reports to understand current exposures.

Microsoft Excel (with VBA & Power Query) Expert

Building and maintaining detailed 3-statement financial models, performing complex data analysis with lookups, index/match, and pivot tables. You'll use Power Query to clean and integrate data from various sources, and potentially write simple VBA macros for automation.

Python (pandas, NumPy, Matplotlib) Intermediate

Writing custom scripts for backtesting simple trading strategies, performing quantitative analysis on large datasets, and creating bespoke data visualisations to present your findings more effectively. You'll be comfortable manipulating dataframes with pandas.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Investment Idea Generation Proposes ideas to Senior Analyst for review and refinement. No independent action. Generates and presents fully-formed investment ideas with supporting analysis to Portfolio Managers. Recommends buy/sell/hold, but PM makes final decision. Leads the generation of investment ideas for a specific sub-portfolio. Has significant input on final decisions, sometimes with delegated authority for smaller trades.
Financial Model Assumptions Builds models based on assumptions provided by Senior Analyst. Any changes require explicit approval. Develops and defends own assumptions for financial models, consulting with PMs on key drivers. Can adjust minor assumptions independently. Defines key assumptions for models within their coverage, challenging consensus views. Approves model changes for junior analysts.
Research Methodology Follows established research methodologies and templates. Chooses appropriate research methods for specific companies/situations, adapting standard approaches. Proposes new methods for efficiency. Designs and implements new research methodologies or analytical frameworks for the team, subject to peer review.
External Communication (Company Management) Attends management meetings, takes notes. Questions are pre-approved by Senior Analyst. Independently schedules and conducts calls with company management and industry experts. Questions are self-generated, but key takeaways are reviewed with PM. Leads discussions with senior management, representing the fund's views. Can challenge management directly on strategic issues.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Model Accuracy
How close your financial models' projections (e.g., revenue, EPS, cash flow) are to the actual reported figures.
Target · <1% error rate on key financial line items (e.g., revenue, EBITDA, EPS) over a 12-month trailing period.

If you projected £100M in Q3 revenue and the company reported £99.5M, that's a 0.5% error, which is spot on. If it was £90M, we'd have a chat.

Coverage Depth & Breadth
The number of companies or securities you actively cover with up-to-date models, research notes, and investment theses.
Target · Successfully maintain active models and research notes on 15-20 covered securities within your assigned sector/asset class.

By month six, you should have robust, current research on at least 15 companies, ready to present at any time, not just when earnings hit.

Actionable Idea Generation
The number of high-conviction investment ideas you generate that are seriously considered or acted upon by Portfolio Managers.
Target · Generate 3-5 actionable investment ideas per quarter, with at least 50% leading to a position being initiated or adjusted.

You presented three ideas last quarter. One was a new buy, one led to increasing an existing position, and the third was a 'pass' but sparked a useful debate. That's a good quarter.

Research Report Quality
The clarity, conciseness, and analytical rigour of your written research reports and investment memos.
Target · Average score of 4 out of 5 from Portfolio Managers on clarity, depth, and conviction, based on internal feedback forms.

Your last report on 'XYZ Corp' was praised for its clear articulation of the bull and bear cases, even if the PM didn't agree with your final recommendation.

Credibility with Portfolio Managers
How much Portfolio Managers trust and rely on your judgment and research for their investment decisions.
  • You'll know you're doing well when PMs proactively seek your opinion before making a trade in your coverage universe. They'll ask you to join client calls to explain your views, and they'll reference your research in their own internal discussions. You're seen as the 'go-to' person for your patch.
Proactive Insights
Your ability to anticipate market shifts, company-specific events, or emerging trends and bring them to the team's attention before they become widely known.
  • You'll be the one flagging potential issues or opportunities weeks before the general market catches on. This means sending emails like 'Heads up, I'm seeing X in the supply chain data for Y company, could impact Q3 earnings.' It's about being ahead of the curve, not just reacting to headlines.
Analytical Rigour
The depth and thoroughness of your analysis, ensuring all angles are considered and assumptions are stress-tested.
  • When you present an idea, you've already thought through the counter-arguments and the risks. You can defend your model's assumptions with data, not just gut feeling. Your work holds up under intense scrutiny from experienced investors, and they rarely find a hole in your logic that you haven't already considered.
Mentorship & Team Contribution
Your willingness to share knowledge and help junior team members grow, contributing to the overall team's success.
  • You're the person junior analysts feel comfortable asking for help with a tricky Excel formula or a complex valuation problem. You offer to review their work, not just because you have to, but because you genuinely want to see them improve. You contribute constructively in team meetings, sharing your perspective even if it's not directly related to your coverage.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
The Thrill of the Hunt

You love diving into annual reports, listening to earnings calls, and building complex financial models. The idea of uncovering a hidden gem or spotting a looming problem before anyone else truly excites you. It's like solving a really tough puzzle every day.

Spending a Saturday morning deep in a company's 10-K (or 20-F for international) because you're genuinely curious about a specific footnote, not because you have to.

Impact on Real Decisions

You're not just doing academic exercises. Your research directly informs where millions of pounds are invested. You get a real kick out of seeing your ideas debated, refined, and ultimately acted upon by experienced Portfolio Managers. Your work matters.

A Portfolio Manager initiating a new position in a company you've been championing for months, based on your thorough research and conviction.

Continuous Learning & Growth

The markets are always changing, and there's always something new to learn—a new industry, a new valuation technique, a new economic theory. You thrive on this constant intellectual challenge and the opportunity to expand your knowledge base every single day.

Voluntarily signing up for a new financial modelling course or reading academic papers on quantitative finance in your spare time.

What frustrates people
  • Having a well-researched thesis but watching the market move against you for months (or years) before it plays out, testing your conviction.
  • The sheer volume of information: drowning in sell-side research, news alerts, and market data, making it a daily battle to separate signal from noise.
  • Explaining underperformance: having to justify why your covered companies or sector aren't performing well this quarter to PMs who might not appreciate the long-term thesis.
  • Battling your own biases: the constant, humbling internal fight against confirmation bias or the temptation to chase hot trends.
What this role does not give you
  • A predictable 9-to-5 schedule – markets don't sleep, and neither do earnings seasons.
  • Immediate gratification for every piece of research – good ideas take time to play out.
  • A purely academic environment – this is about making money, not just proving a theory.
  • An easy ride – the learning curve is steep, and the pressure is constant.

8Who you work with

Your research directly fuels our investment decisions. Get it right, and we make money for our clients. Get it wrong, and we lose it. It's that simple, and that high-stakes. Your work forms the bedrock of our investment strategy for your covered universe, influencing millions, sometimes billions, of pounds in assets under management.

Inside the business
  • Portfolio Managers (your primary 'clients' who use your research)
  • Senior Analysts (your mentors and collaborators)
  • Risk Management Team (they'll challenge your assumptions on downside)
  • Sales & Client Relations (they'll need your insights to explain performance to clients)
Outside the business
  • Company Management (you'll be interviewing them regularly)
  • Industry Experts (the folks who know the sector inside out)
  • Sell-Side Research Analysts (you'll read their reports, but form your own views)
  • Data Vendors (Bloomberg, FactSet, etc.)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven ability to build robust 3-statement financial models independently.
  • Demonstrable experience conducting in-depth qualitative and quantitative research on public companies.
  • Strong understanding of accounting principles (IFRS or GAAP) and how to interpret financial statements.
  • Excellent written and verbal communication skills, capable of articulating complex ideas clearly and concisely.
  • Proficiency in Excel (including advanced functions) and at least intermediate knowledge of a financial data terminal (Bloomberg, FactSet).
  • A genuine passion for financial markets and a strong intellectual curiosity about how businesses operate.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Python for Quant Analysis

As data volumes grow and the need for sophisticated analysis increases, relying solely on Excel becomes a bottleneck. Python offers unparalleled flexibility for handling large datasets, backtesting complex strategies, and building custom analytical tools that Excel simply can't manage.

Time Series Analysis · Vectorised Operations · API Integration (Financial Data) · Basic Machine Learning (Financial Context)

  • This week: Complete an online course on advanced pandas functionality.
  • This month: Automate one of your recurring data pulling and cleaning tasks using Python and an API.
  • Month 2: Attempt to backtest a simple trading strategy using historical data in Python.
  • Month 3: Learn the basics of a visualisation library like Plotly or Bokeh to create interactive charts.

Quick win: Start by converting one of your existing, complex Excel data manipulation tasks into a Python script. Even if it's just a small part, it's a step towards automation.

Advanced Excel Modelling & Auditing

While Python is growing, Excel remains the lingua franca of finance. The ability to build highly dynamic, error-free, and auditable financial models is crucial. You'll move beyond just building models to stress-testing them rigorously and identifying potential errors in others' work.

Circular References & Iterative Calculations · Advanced Scenario & Sensitivity Analysis · Model Auditing Techniques · VBA for Complex Automation

  • This week: Review best practices for financial modelling (e.g., FAST standard).
  • This month: Build a new, more complex model (e.g., an LBO model) from scratch, focusing on flexibility and auditability.
  • Month 2: Actively audit a colleague's financial model, providing constructive feedback on structure and accuracy.
  • Month 3: Learn to write a VBA macro that automates a data import and cleaning process you regularly perform.

Quick win: Start by implementing clear colour-coding and consistent naming conventions in all your Excel models. It's a simple step that drastically improves auditability.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry conferences and seminars (e.g., CFA UK events, sector-specific investor days).
  • Subscribe to and regularly read leading financial publications (e.g., Financial Times, The Economist, Wall Street Journal) and reputable research houses.
  • Engage in continuous learning through online courses (e.g., Coursera, edX) on advanced financial modelling, Python for finance, or data science.
  • Seek out mentorship opportunities from more senior analysts and Portfolio Managers within the firm.
  • Present your research internally to different teams to refine your communication and get diverse feedback.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration

Competitors are already using Large Language Models (LLMs) to draft research summaries, earnings call analyses, and even initial investment memos in minutes, not hours. Analysts who master this will outproduce their peers significantly, freeing up time for higher-value work.

  • Context Windows & Token Limits
  • Temperature Settings for Tasks
  • RAG Architectures
  • Output Validation & Hallucination Detection

Alternative Data Analysis

Traditional financial data (company financials, analyst estimates) is widely available. The edge now comes from using 'alternative data' – things like satellite imagery, credit card transactions, web traffic, or social media sentiment – to gain a unique, early insight into a company's performance or consumer trends.

  • Data Sourcing & Vetting
  • Data Cleaning & Transformation
  • Correlation vs. Causation
  • Ethical & Privacy Considerations

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Security Valuation & Financial Modelling
  • Portfolio Construction & Asset Allocation (Basic)
  • Quantitative & Risk Management (Application)
  • Macroeconomic Analysis
  • Performance Attribution Analysis
  • Behavioural Finance (Awareness)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Investment Analyst (Entry Level)

    2-3 years

    Skills to master

    • Building accurate financial models, data gathering and cleaning, basic valuation techniques, understanding financial statements, and supporting senior analysts with research tasks.

    You're ready to move on when

    • Consistently delivers high-quality, error-free analytical work.
    • Proactively identifies data issues and proposes solutions.
    • Demonstrates a keen interest in specific companies or sectors beyond assigned tasks.
    • Can articulate basic investment theses clearly.
  2. 2

    Graduate Investment Programme

    2 years

    Skills to master

    • Rotational experience across different asset classes or research functions, developing foundational analytical skills, understanding firm-specific investment processes, and building internal networks.

    You're ready to move on when

    • Successfully completed all rotations with positive feedback.
    • Developed a broad understanding of investment principles.
    • Identified a preferred specialisation (e.g., equity, credit).
    • Demonstrated strong problem-solving and communication skills.
  3. 3

    Junior Credit Analyst / Equity Research Associate (Sell-Side)

    2-4 years

    Skills to master

    • Deep dive into specific companies, report writing under pressure, interacting with institutional clients, and understanding market dynamics from a sell-side perspective.

    You're ready to move on when

    • Proven track record of publishing insightful research.
    • Strong relationships with covered companies' management.
    • Ability to handle demanding deadlines and high-pressure environments.
    • Desire to transition to a buy-side, capital allocation role.

15Where this role leads

The long view: This work can lead to managing a fund directly as a portfolio manager, or moving into a senior portfolio manager role handling larger, more complex funds.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Research Analyst is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • Senior Analyst

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Preparing and presenting investment market information to stakeholders, worked against Research Analyst.

Preparing and presenting investment market information to stakeholders Level 3

Applied to your work in Research Analyst

This unit aims to enable learners to identify stakeholders' information needs regarding investment market data and obtain appropriate information from relevant sources. Learners will be able to prepare and present this information in a clear and accessible manner, address stakeholder queries, and maintain accurate records.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

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See Your Progress Grow Illustration
Research Analyst
  • Security Valuation & Financial Modelling
  • Portfolio Construction & Asset Allocation (Basic)
  • Quantitative & Risk Management (Application)
  • Macroeconomic Analysis
  • Performance Attribution Analysis
  • Behavioural Finance (Awareness)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Research Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Analyst

    3-5 years from Research Analyst

    You'll move from owning a coverage list to leading research on the most complex securities or an entire sub-sector. You'll also take on mentorship responsibilities.

    • Advanced Valuation Techniques Applying more nuanced valuation models for complex situations (e.g., M&A, distressed assets).
    • Sector Expertise Becoming a recognised expert in your covered sector, with deep industry contacts and insights.
    • Risk Oversight Taking a more active role in identifying and articulating portfolio-level risks related to your coverage.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest: a big chunk of a Research Analyst's job is sifting through mountains of data, reading endless reports, and trying to summarise complex information. What if you could offload a significant portion of that grunt work to AI? Imagine having more time for the truly interesting stuff – deep analysis, creative idea generation, and strategic thinking. That's not a pipe dream; it's happening now.

Our AI Productivity Hub isn't just about buzzwords; it's about giving you practical tools that genuinely make your day easier and more impactful. We're talking about automating the tedious, repetitive tasks that eat into your valuable time, allowing you to focus on what you're actually paid for: generating alpha. Here's how AI can transform your daily grind as a Research Analyst:

Automated Diligence Screener

Imagine feeding thousands of company filings (10-K/10-Q, annual reports) into an AI. It'll scan for red flags like subtle changes in accounting language, unusual related-party transactions, or non-GAAP metric manipulation. This means you're not manually sifting through hundreds of pages; the AI highlights the critical sections for your review. It's like having a super-fast, tireless junior analyst for due diligence.

Earnings Call Sentiment Analysis

Forget listening to every single earnings call for hours. An AI tool can analyse the transcripts, tracking shifts in management sentiment, measuring talk-time versus listen-time, and flagging evasive language or changes in key themes over quarters. You get a concise summary of sentiment and key takeaways, letting you quickly identify what truly matters and where to focus your attention.

Macro & Geo-Political Summariser

Staying on top of global economics and geopolitics is a full-time job in itself. A custom AI agent can ingest hundreds of news sources, central bank reports, and geopolitical analyses daily. It then provides a concise, synthesised morning brief tailored specifically to your portfolio's exposures, saving you hours of news aggregation and filtering.

Investor Commentary First Draft

When it's time to write that quarterly investor letter, you can feed the AI your portfolio's performance attribution report and key market events. The AI will generate a structured first draft, outlining the narrative and key points. You then refine it with your unique insights, analysis, and the 'human touch' that clients expect. It's a massive head start on a often time-consuming task.

Common questions

Common questions

How do you become a Research Analyst?

Common routes in include Investment Analyst (Entry Level) (2-3 years), Graduate Investment Programme (2 years) and Junior Credit Analyst / Equity Research Associate (Sell-Side) (2-4 years). Times vary with prior experience.

Where can a Research Analyst progress to?

This role can lead on to Senior Analyst (3-5 years from Research Analyst), depending on the skills you build.

What new skills matter most for a Research Analyst?

Increasingly, Prompt Engineering & LLM Integration and Alternative Data Analysis. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in finance

Stay in the field you know and move sideways rather than up.
If you leave this industry

This role sits in finance, but the analytical and valuation skills apply elsewhere. You could move into corporate development, private equity, venture capital, or strategic consulting. Assessing value is a skill that carries across sectors.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my Research Analyst plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.