CAREERMASH (EN)FROM ECONOMICS

Quantitative Economist

Quantitative economists use maths and data to understand how the economy works. They work for governments, banks and businesses, helping leaders make big decisions about money, jobs and growth based on what the numbers show.

Quantitative Economist

50

Economics

AI IMPACT
AI CAN DO50%moving to88%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£30,000 - £36,000
NO MOATNo physical, legal or personal barrier protects this work from software.
This work is being absorbed by AI
AI already does much of this work and nothing structurally requires a human: no licence, no physical task, no relationship at the core. Expect fewer people in higher-judgment roles: enter as the person directing the tools, not competing with them.

Career progression path

1FIRST STEPJunior Quantitative EconomistIn this entry-level role, you will assist in data collection and preliminary analysis, gaining hands-on experience with statistical software and econometric techniques.£30,000 - £36,000
2GAINING EXPERIENCEMid-level Quantitative EconomistAt this stage, you will lead projects, develop complex models, and provide insights that directly influence strategic decisions.£45,000 - £55,000
3PEAK CAREERSenior Quantitative EconomistIn a senior role, you will oversee teams, drive major projects, and represent your organisation in high-level discussions, shaping economic policy and strategy.£70,000+
There is more than one way in

You do not have to go the university route to get here. There is also a vocational route that skips a degree entirely.

Careermash

Careermash: navigate your career path with real data. Explore career profiles, salary benchmarks, AI impact forecasts, and the qualifications you need to get there.


AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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