What Skills Do You Need to Work in Finance? A Guide for UK Graduates

The finance skills needed for most UK graduate roles fall into three categories: technical skills (numerical reasoning, data analysis, Excel), commercial skills (market awareness, analytical thinking, financial judgement), and interpersonal skills (communication, teamwork, attention to detail). Developing all three takes deliberate effort - and the sooner you start, the more natural they feel when it matters.

Technical finance skills are the quantitative and knowledge-based capabilities that underpin most day-to-day work in financial services. They are the skills you use to build a model, interpret a dataset, follow a market, and make a defensible recommendation.

Numerical reasoning is the ability to work accurately and efficiently with quantitative financial information - reading tables, interpreting ratios and percentages, and drawing correct conclusions from data. In practice, this skill runs through almost everything an analyst does: reviewing financial statements, stress-testing model assumptions, or checking whether a client's figures are internally consistent before a presentation goes out.

What this skill looks like on the job is less dramatic than people expect. It is catching a sign error in a model before it propagates through three linked sheets. It is noticing that a percentage change and an absolute figure in a client report are inconsistent with each other. It is being fast and accurate enough with numbers that colleagues trust your outputs without rechecking everything you produce.

How to show it on your CV: quantify everything. "Modelled three revenue scenarios for a £20K student fund portfolio" tells a recruiter something specific. "Strong numerical skills" tells them nothing.

Numerical reasoning isn't about being good at maths. It's about being fast, accurate, and calm with financial data under pressure - a combination built through deliberate practice.

Data analysis is one of the most transferable and consistently valued skills in finance - expected at entry level and differentiating at depth. Most analytical work in banking, asset management, and financial services involves working with structured data at some stage, and the expectation from day one is that you can do so without guidance on the basics.

Data analysis in finance is about understanding what the numbers are telling you, not just producing them. A dataset is a starting point, not an answer. The analyst who looks at a revenue breakdown and identifies which segment is distorting the aggregate is adding value. The one who can only produce the table is not.

The tools vary by firm and role - Excel remains the standard across most of the industry, and Python is increasingly common in more quantitative or data-heavy functions - but the underlying skill is the same regardless of the platform: can you take a messy dataset and turn it into a clear, defensible insight?

How to develop it: practice working with real financial data. Build a simple three-statement model - profit and loss, balance sheet, cash flow - and understand how the statements connect. Companies House and the ONS publish real financial data you can work with at no cost.

How to show it on your CV: lead with what you found or decided, not what software you used. "Identified a pricing anomaly across three product lines by analysing two years of sales data, presented findings to a panel of 20 society members" is analytical thinking in action. "Proficient in Excel" is a label.

Financial and market knowledge refers to a working understanding of how financial products, markets, and instruments function - how equities are priced, how fixed income responds to rate changes, how a leveraged buyout is structured, and why any of it matters to clients and counterparties.

You do not need CFA-level depth as a graduate. You need enough to follow a deal announcement or a central bank decision, understand its first and second-order implications, and contribute meaningfully to a conversation about it. That is the baseline. Going deeper in one specific area - a sector, an asset class, a market dynamic - is what creates genuine credibility.

This knowledge is what allows you to ask better questions on the job. An analyst who understands why a company's debt structure matters in a rising rate environment will contribute more in a due diligence meeting than one simply executing a checklist. Market knowledge is the context that makes technical skills meaningful.

How to develop it: follow one sector or asset class properly rather than everything superficially. Read primary sources - Bank of England Monetary Policy Reports, company investor relations pages, FCA publications - rather than relying solely on news summaries. The habit is forming views, not just tracking headlines.

How to show it: in interviews, reference a specific and recent development and explain what it means - not "I follow the markets" but a clear, well-reasoned observation about a transaction, a rate decision, or a sector trend that is relevant to the firm you are speaking with.

Commercial finance skills are the judgement-based capabilities that separate candidates who understand finance as an academic subject from those who can apply it in a professional context. These are the skills that determine whether you can read a situation, identify what matters, and make a sound recommendation - which is ultimately what finance professionals are paid to do.

Commercial awareness is the ability to connect what is happening in markets, the economy, and the broader business environment to what it means for a specific company, client, or transaction.

In practice, commercial awareness is what allows an analyst to walk into a client meeting having already thought through how last week's rate decision affects that client's refinancing options. It is what allows a junior banker to contribute to a sector discussion rather than just take notes. It is the difference between knowing that something happened and understanding why it matters to the people in the room. 

Commercial awareness is not the same as reading the news. A candidate who can summarise a market event but cannot explain its implications for a business has information without judgement. The skill is in the interpretation - taking a macro development and tracing it to a specific commercial consequence. 

How to develop it: treat it as a weekly habit rather than a pre-interview sprint. One macro event, one notable deal, one sector development per week - and for each, practice articulating not just what happened but what it means and what might follow.

How to show it: in your cover letter, name a specific and recent development relevant to the bank and explain its implications. In interviews, have two or three topics you can discuss with conviction and a clear point of view - interviewers can tell a prepared opinion from a genuine one within about 30 seconds. 

Commercial awareness isn't about following the news - it's about forming a view on what the news means. That judgement is what separates a candidate who sounds informed from one who actually is. 

You are given a question and an argument. Your job is to judge whether the argument is "strong" or "weak."

The hidden rule: strong does not mean persuasive or emotionally compelling. It means directly relevant to the question and logically substantial. Many candidates mark arguments as strong because they sound convincing, when in fact they introduce unrelated considerations or rest on unsupported assumptions.

Want to test yourself on all five formats? Watson Glaser practice questions by section let you identify which section types need the most attention before your test date.

High-achieving candidates arrive at the test with deeply embedded reasoning habits. They evaluate plausibility. They draw on context. They weigh evidence against what they know about the world. These are exactly the skills that make someone an effective lawyer, analyst, or consultant.

They are also the habits that produce wrong answers on the Watson Glaser, because the test doesn't reward general analytical thinking. It rewards adherence to a specific set of rules.

The outside knowledge trap is the most common source of lost marks. A passage contains a claim that sits oddly with a candidate's general knowledge. The natural instinct is to factor that knowledge in. The test rule is to treat every passage as true for the purposes of the question, regardless of real-world context. Following that rule changes the answer.

The everyday reasoning mismatch creates a similar problem. In normal discourse, "probably true" is a perfectly reasonable conclusion to reach. In the Watson Glaser Deductions section, it disqualifies your answer entirely. The test operates under formal logic rules, not conversational ones, and that gap is wider than it first appears.

There's also a psychological dimension worth naming. Candidates who are used to succeeding analytically can find these questions genuinely unsettling, because something that looks like a reasoning task keeps producing unexpected results. That experience reflects an unfamiliar rule set, not a problem with your thinking.

Your biggest competitor on this test isn't another candidate - it's your own assumptions about what a good answer looks like.

The Watson Glaser requires you to temporarily set aside your normal analytical instincts and operate within a different framework. That switch is learnable, but it takes deliberate and conscious practice.

Understanding what the test measures is the foundation. Improving your score is a separate, practical process. Here is what actually works, and what wastes your time.

What doesn't work: reading general critical thinking theory, doing generic verbal reasoning tests, watching YouTube summaries without timed practice, and drilling questions without understanding why your answers were wrong. These approaches feel productive but they don't engage the specific rules that the Watson Glaser tests.

Before you practise, find out where your reasoning is least aligned with the test's rules. Many candidates assume they are weakest on Inferences when they are actually losing marks on Assumptions, or vice versa. A targeted diagnostic saves preparation time and focuses your effort where it will have the most impact. 

This is the step most candidates skip. Doing practice questions without first internalising the rules reinforces whatever reasoning pattern you already have. If that pattern doesn't align with the test's logic, more practice just deepens the misalignment.

Drilling 500 questions without understanding the rules is the most efficient way to reinforce the wrong instincts.

Spend time on each section's specific logic rules before you attempt timed questions. The rules in this article are a starting point. Section-specific explanations go deeper.

Time pressure is structural to the test design. Working carefully but slowly is as fatal as working fast but carelessly. You need to build speed alongside accuracy, which only happens under realistic conditions. Timed Watson Glaser practice tests replicate these conditions and help you calibrate your pacing before test day. 

When a question doesn't go your way, the useful question is not "what was the right answer?" It is "which rule did my reasoning diverge from?" Was it an outside knowledge import? A certainty versus possibility confusion? A relevance error on an argument?

Reviewing for rule violations builds a mental checklist you can apply during the live test. Reviewing only for correct answers teaches you individual question answers, not the transferable logic the test consistently rewards.

Many employers screen at the 80th percentile or above. Understanding Watson Glaser score requirements by firm gives you a concrete target to work toward, rather than a vague aim to "do well."

The difference is not intelligence, and it is not the raw amount of time spent preparing. It is whether a candidate has explicitly learned the rules before sitting the test.

Candidates who score well have typically done three things: they understood the test's internal logic (not just its format), they practised under realistic time conditions, and they reviewed their errors by identifying which rule they broke rather than simply noting the correct answer.

The test does not reward general reasoning ability in isolation. It rewards the specific reasoning patterns it is designed to detect. A candidate who knows those patterns walks in with a structural advantage over one who is relying on instinct alone.

Knowing that the test has hidden rules is the first step. Having a system to learn them before your test date is the only step that matters.

Effective preparation combines section-specific rule explanations, timed simulations, and performance feedback that tells you not just your score but where your reasoning is diverging from the test's logic. That combination is what gives you a reliable read on where you stand before the real thing.

The Watson Glaser measures five distinct reasoning skills, each governed by rules that most candidates have never been taught. It does not test your intelligence or your legal knowledge. It tests whether you can apply a specific logical framework under time pressure.

That framework is learnable. The rules are not hidden because they are secret. They are hidden because nobody explains them to you before you sit the test.

If the test has felt unfair or arbitrary, that is a rational response to encountering an unfamiliar system, not a signal about your reasoning ability. The candidates who perform well are not necessarily smarter. They are better prepared.

Prepare thoroughly and comprehensively with resources such as our Watson Glaser PrepPack. Learn and take note of the explanations that show you not just the right answer but the rule behind it. That is where the shift begins.