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Economist

Works out what is actually causing what in an economy, and what a policy would really do. Far more mathematical than students expect, and employable well beyond government.

Work environment
office, remote-capable
Typical hours
predictable ~40h
Stress
moderate
People contact
constant colleagues
Income
strong
Degree needed
YesUK NCS 2026

Stress. Analytical and deadline-driven rather than acute. The particular pressure is being asked for a confident number when the honest answer is a range with caveats, and having that number quoted without the caveats afterwards.

Hours. Published as 37 to 39 hours, typically between 8am and 6pm. Genuinely reasonable — this is one of the better-paid analytical careers that does not demand your evenings, outside fiscal events and publication deadlines.

People. Small analytical teams with substantial briefing of non-economists. Explaining a finding to someone who wants a different finding is a large part of seniority.

Income. Good and rising steadily, with a wide spread by sector. Financial and consultancy economists earn considerably more than public sector or academic ones for the same qualification.

Country

What they actually do

The real tasks, not job-description language.

  • Build and test models of how markets, sectors or whole economies behave.
  • Analyse data to establish what actually caused an outcome, rather than what merely correlates with it.
  • Forecast — and explain honestly how wide the uncertainty around a forecast really is.
  • Evaluate policies and interventions: did this do what it was supposed to, and at what cost.
  • Write briefings and reports for people who will act on them and have not studied economics.
  • Advise on pricing, competition, regulation or investment depending on the sector.
  • Interrogate data quality, because most economic conclusions fail on the data rather than the method.
  • Present findings and defend the assumptions underneath them.

A day in the life

Examples, not measurements. Real days vary; these are what people describe as typical.

A working dayO*NET

  1. 08:45Read overnight data releases and check whether anything changes the current analysis.
  2. 09:30Model work. Clean the data, specify the estimation, discover the series has a break in it.
  3. 12:00Team discussion — is this effect real, or an artefact of how the sample was constructed.
  4. 14:00Write the briefing. Two pages for people who will read one.
  5. 16:00Brief a senior stakeholder who wants a single number. Give the range and explain why.
  6. 17:15Finish on time, which this field generally allows.

Education pathway

What it actually takes, with realistic time at each stage.

Saudi ArabiaSchool to independent practice: 4–8 yearsestimated

  1. Secondary school, either track3 yearsestimated
  2. BSc Economics4–5 yearsreported
  3. Master's or doctorate, frequently abroad on scholarship2–5 yearsestimated
  4. Economist0 yearsestimated

Licensing

None.

Notes

The central bank, ministries, sovereign funds and the major consultancies are the main employers. Postgraduate study abroad on scholarship is a well-established route into the senior public sector positions.

What to study now

Subject choices made at fifteen or sixteen decide what is still possible at eighteen.

Saudi curriculum track

Neither track closes economics, but be aware the subject is far more mathematical than its school-level version suggests. The science track is genuinely helpful preparation even though the administrative track is the conventional route.

Doors that close without these

  • Without maths at A-level or IB Higher Level, competitive economics degrees are closed, and postgraduate economics becomes very difficult.
  • A joint degree with less than half economics content closes government economist schemes specifically — check the composition before choosing a combined course.
  • Nothing else closes this route; there is no licence and no protected title.

A-Level

  • MathematicsrequiredEffectively required at any serious economics department, and the single biggest predictor of whether you cope with the degree. Students who take economics and drop maths have it backwards.
  • EconomicsusefulHelpful but not required, and universities teach from scratch. Never choose it over maths.
  • Further Mathematicsstrongly recommendedGenuinely advantageous at the strongest departments and for postgraduate study.
  • History or Politicsuseful

IB

  • Mathematics: Analysis and Approaches (Higher Level)required
  • Economicsuseful

Degrees that lead here

The whole route on one page →
  • Accounting and FinanceReachable with a quantitative master's, for those who find the theory more interesting than the practice.
  • EconomicsThe direct destination in government, central banking, consultancies and international institutions.
  • MathematicsModern economics is mathematics applied to human behaviour, and this is a strong entry to it.
  • Political Science and International RelationsReachable with quantitative methods and a master's, and political economy sits between the two.
  • StatisticsApplied econometrics is statistics under another name.

If any of those systems is unfamiliar — or you have not chosen between them yet — the exams and qualifications section covers what each one is, which subject inside it opens which degree, and when to sit what.

Getting in: how competitive

Students consistently underestimate this part.

Degree entry is competitive at strong departments and achievable more widely. The real filter is mathematical: economics is far more technical than school economics implies, and a substantial number of students discover this in the first term. Government economist schemes and central bank roles are competitive; the wider market — consultancies, regulators, banks — hires more readily.

What selectors actually weigh

Two or three A-levels including maths or economics for a degree, with government schemes additionally requiring at least 50% economics content in a combined degree. Employers weight quantitative and econometric competence heavily — a candidate who can actually estimate and interpret a model outperforms one with a better classification who cannot.UK NCS 2026

Exams in the way

  • Numerical and analytical testing for graduate schemes
  • Technical interviews covering econometrics for research roles

How many attempts is normal

Applying across government, regulatory and private sector schemes simultaneously is normal.

Reality check

Both columns are required. A career page with no difficult parts is an advert.

The good

  • Genuinely reasonable hours for a well-paid analytical career, which is a rarer combination than it sounds.
  • The work influences real decisions — policy, pricing, regulation — in a way most analytical jobs do not.
  • Employable well beyond government: regulators, consultancies, banks, technology companies and international institutions all hire economists.
  • The intellectual discipline is genuine. Causal inference done properly is hard and valuable.
  • The skills transfer readily into data science, policy and finance if you change direction.

The difficult parts

  • It is much more mathematical than school economics suggests, and this is the most common source of disillusionment in the first year of the degree.
  • A master's is effectively expected for professional economist roles, adding time and cost.
  • Your careful conclusions get simplified into headline numbers you would not have written, and then attributed to you.
  • Forecasting is genuinely difficult and being publicly wrong is part of the job.
  • Public sector economics pays substantially less than the private sector for the same work.
  • Politics shapes which questions get asked, and sometimes which answers are welcome.

Who this suits

This suits you if

  • You are genuinely comfortable with mathematics and statistics, not merely tolerant of them.
  • You are curious about why economies and people behave as they do.
  • You can communicate uncertainty honestly under pressure to be definite.
  • You want analytical work with reasonable hours.
  • You are interested in policy questions rather than only in commercial ones.

Think twice if

  • You liked economics at school for the discussion rather than the modelling — the degree is the opposite balance.
  • You dislike mathematics, because it is the substance of the discipline.
  • You want your conclusions to be acted on faithfully, which in policy work they frequently are not.
  • You need the highest pay available for your quantitative ability — finance pays more.
  • You would find being publicly wrong about forecasts hard to absorb.

Salary

Ranges, not a single figure. The median matters more than the ceiling.

Saudi Arabia · SAR per year

Entry
SAR 120,000–200,000estimated
Mid-career
SAR 200,000–380,000estimated
Senior
SAR 350,000–750,000estimated

What drives the spread

Estimated rather than measured. Saudi demand for economists is concentrated in the central bank, ministries, sovereign funds and consultancies, and the sovereign fund and consultancy end pays substantially more than ministerial positions.

How pay is structured

Package-based with allowances. Public sector follows grade structures; sovereign funds and consultancies negotiate individually.

The Saudi picture

Specific to Saudi Arabia, shown whichever country is selected above.

Does this field actually hire here

Genuinely strong and structurally driven. Economic diversification is the organising project of Saudi policy, and it requires people who can model, forecast and evaluate it — the central bank, the ministries, the sovereign fund and the international consultancies all recruit economists. The pool of Saudi nationals with strong postgraduate economics training is small relative to that demand, which is a real advantage for those who have it.

Government vs private

Unusually balanced. The central bank, ministries and the General Authority for Statistics offer stable public sector careers with defined progression. Sovereign funds and international consultancies pay considerably more. Banks employ economists in smaller numbers.

Saudization

Economics and policy roles in public institutions are effectively national positions, and scholarship programmes for postgraduate study abroad exist specifically to build this capability. For a Saudi national with strong mathematics, this is a well-supported route.

Licensing and foreign degrees

None. No registration, no protected title, no recognition process — so postgraduate study abroad carries no risk on return, which is a meaningful advantage over the licensed professions.

Vision 2030

Among the most directly relevant fields on the site, since the programme is fundamentally an economic transformation and requires economists to design and evaluate it. Unlike consulting, the demand sits inside permanent institutions — the central bank and statistics authority will need economists regardless of which specific programmes proceed.

Provenance for this sectionestimated

Career progression

A realistic ladder, with the years each rung usually takes.

  1. Economic analystyears 0–3reported
  2. Economistyears 2–7reported
  3. Senior economistyears 6–14reported
  4. Chief economist or head of analysisyears 12–25estimated

Specialisations

One job title can contain very different lives.

Macroeconomics and forecasting
Whole economies. Central banks, ministries and international institutions.
Competition and regulation
Market structure, mergers and pricing. Highly technical and among the best paid outside finance.
Development economics
Growth and poverty across countries. International institutions and NGOs.
Financial economics
Markets and asset pricing. The highest-paying direction and the closest to quantitative finance.
Applied microeconomics and evaluation
Did this policy or product change work. The most methodologically rigorous branch and closest to data science.

How this field is changing

You enter this workforce in five to twelve years, not today.

Demand: growingestimated

Demand has broadened well beyond government — regulators, technology companies and consultancies now employ economists in numbers that did not exist twenty years ago, largely because causal inference on large datasets became commercially valuable.

What automation actually changes

Data handling and routine estimation are heavily automated already, and machine learning is very good at prediction — which is a real overlap with part of what economists do. Where the discipline holds its ground is causation rather than prediction: working out whether a policy caused an outcome, and designing an analysis that could distinguish the two. Machine learning is largely silent on that, and economists have spent decades on it. The practical effect is that econometric and causal skills have become more valuable while descriptive forecasting has become more commoditised.

Are requirements drifting

Upward. The master's has become the practical entry standard for professional economist roles where a bachelor's once sufficed, and doctorates are increasingly common in research and financial positions.

How much has really changed

The discipline is stable and its methods are cumulative. What has changed substantially is where economists work — the shift from predominantly government and academia toward regulators, consultancies and technology firms is a genuine structural change within a career span.

Sideways from here

The most useful direction on this site. Going deeper only tells you that medicine contains cardiology.

If you like this, consider

Where Economics (BSc) can take you

The same degree, other destinations. Choosing this subject does not commit you to this job.

What next

Sources for this page

Last researched 2026-08-17. Every figure above carries the label of where it came from — hover or tap one to see which.