United States
$116kUS mid–senior typical from this profession's market ladder/regions, 2023–24 bands.
Grant and experiment calendars create quiet weeks and crunch weeks.
Mathematician · From Babylonian scribes to Fields medalists and AI-assisted proof: the profession that turns hard questions into permanent certainty, one theorem at a time.
Darker cells mean a higher score for this topic on that metric.
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Research mathematicians spend their days trying to prove statements no one has proved: reading papers, computing examples, filling blackboards, and writing up the small fraction of ideas that survive. Most also teach and supervise students. Applied and industrial mathematicians build and analyze models — of markets, machines, diseases or data — where the mathematics must answer to messy reality. Very little of either job is arithmetic.
For research and university positions, yes, effectively everywhere: the PhD is the credential that proves you can produce new mathematics. Outside academia the picture is looser — trading firms, tech companies and government agencies hire strong bachelor's and master's graduates — and unlike medicine or law, nothing legally stops anyone from proving theorems without any degree. Ramanujan never completed one.
Sector matters far more than seniority. US mathematicians earned a median of about $116,000 in 2023 (BLS); a full professor in Germany typically earns roughly €80,000–110,000; a junior CNRS researcher in France starts near €30,000. The outliers are in finance, where senior quantitative researchers at top trading firms can clear several times a professor's salary — a small, selective slice of the profession.
AI systems reached gold-medal level on International Mathematical Olympiad problems in 2025, and proof assistants like Lean can now verify research-level arguments. What machines still cannot do is decide which questions matter, invent the definitions that make a problem tractable, or carry responsibility for mathematical meaning. Most researchers expect the job to be transformed — closer to working with a powerful collaborator — rather than eliminated.
Alfred Nobel simply left mathematics out of his 1895 will; the popular story of a feud with the mathematician Gösta Mittag-Leffler has no documentary support. The field built its own honors instead: the Fields Medal, awarded every four years since 1936 to mathematicians under forty, and the Abel Prize, awarded annually by Norway since 2003 with a purse comparable to a Nobel's.
Seven problems the Clay Mathematics Institute named in 2000, each carrying a $1 million prize: the Riemann hypothesis, P versus NP, the Navier–Stokes and Yang–Mills problems, the Birch and Swinnerton-Dyer and Hodge conjectures, and the Poincaré conjecture. Only the Poincaré has been solved — by Grigori Perelman, who refused both the prize money in 2010 and the Fields Medal before it.
Mathematics has perhaps the widest pay spread of any single training pipeline: the same doctorate that leads to a €30,000 junior research post in France leads, via a different exit, to a $400,000-plus quantitative research seat in New York or London. Sector, not seniority or talent, is the dominant variable, and the academic path is the modestly paid one at every stage.
The market is also split between a tiny titled core and a vast untitled diaspora. The US Bureau of Labor Statistics counted only about 2,200 people employed under the literal title "mathematician" in 2023 — yet projects 11 percent growth for mathematical occupations through 2033, among the fastest of any field, because the same training now powers data science, finance, cryptography and machine learning under other names.
US, typical funded stipend with tuition waived, 2024; European doctoral researchers are often salaried employees instead (Germany's TV-L E13 scale).
US, typical mathematics postdoctoral salary, 2024; NSF postdoctoral fellowships run comparable amounts.
US, doctoral-department average from AMS faculty salary surveys, mid-2020s; UK lectureships and French maître de conférences posts pay notably less.
US, research-university average, mid-2020s; stars with endowed chairs earn more, most of the world's professors earn less.
US/UK, total compensation at top trading firms and AI labs, 2024–25 — the profession's peak pay, reached by a small, selective slice outside academia.
Typical mid-to-senior packages, hours and leave — not entry stipends. Figures are rounded bands with a year and market in the notes.
US mid–senior typical from this profession's market ladder/regions, 2023–24 bands.
Grant and experiment calendars create quiet weeks and crunch weeks.
Korea mid–senior typical drawn from regional notes on Mathematician where available, 2023–24.
Grant and experiment calendars create quiet weeks and crunch weeks.
Japan mid–senior typical drawn from regional notes on Mathematician where available, 2023–24.
Grant and experiment calendars create quiet weeks and crunch weeks.
Germany mid–senior typical drawn from regional notes on Mathematician where available, 2024.
Grant and experiment calendars create quiet weeks and crunch weeks.
UK mid–senior typical drawn from regional notes on Mathematician where available, 2024–25.
Grant and experiment calendars create quiet weeks and crunch weeks.
Singapore mid–senior typical drawn from regional notes on Mathematician where available, 2023–24.
Grant and experiment calendars create quiet weeks and crunch weeks.
Full professors at ETH Zurich and Swiss universities are among the world's best-paid academics, 2024.
Median pay for the occupation "mathematician," BLS, May 2023; academic and government posts cluster near it, finance far above.
W3 professor base salary bands, 2024; negotiable supplements can add substantially at senior hires.
Professorial salary range at research universities, 2024; London quant roles pay several multiples of this.
Typical full-professor salary at national universities, mid-2020s; industry mathematics pay is rising from a low base.
Senior professor total pay at IITs and IISc under the 7th Pay Commission, mid-2020s; private-sector quant and analytics roles in Mumbai and Bengaluru can pay far more.
Bonn-based institute of Germany's Max Planck Society, offering pure research positions with no teaching load — the European model of the mathematics institute.
France's national research organization, which hires mathematicians into permanent civil-service research posts by nationwide competition — a career structure with no US equivalent.
Describes itself as the largest employer of mathematicians in the United States, hiring for cryptanalysis and cryptography; the UK's GCHQ plays the same role across the Atlantic.
Quantitative trading firm famous for recruiting olympiad medalists and math PhDs, and for sponsoring competitions and puzzle culture as a hiring pipeline.
AI laboratory whose AlphaProof and AlphaGeometry systems reached olympiad medal standard, and which hires research mathematicians to push machine reasoning further.
The Princeton institute that sheltered Einstein, Gödel and von Neumann; its School of Mathematics hosts permanent faculty and hundreds of visiting researchers on the field's most coveted fellowships.
Academic demand is a bottleneck by design: with roughly 1,900 US PhDs a year chasing a much smaller number of permanent research posts, multiple postdocs and international moves are standard, and a meaningful share of every cohort exits to industry — not as failure, but as the market's actual majority outcome.
Industrial demand is the opposite story. Quantitative finance, machine learning, cryptography and data science absorb mathematical talent at record rates and rising pay, and the post-quantum cryptography transition NIST began standardizing in 2024 alone guarantees years of employment for number theorists and lattice specialists.
The long-run driver is structural: every advance in automation increases the value of the people who can specify, model and verify what the machines do. Mathematics is the training for exactly that, which is why the profession's employment forecasts keep outrunning its own headcount under the literal job title.
Closest neighbours on the six-score profile — not the same field only.
The scholar paid to profess a subject in public — twenty-five centuries of teaching and discovery, from Plato's grove to the tenure track and the AI tutor.
AI-resistant 76 🎬Turns a screenplay into a finished film by deciding every shot, performance and cut, then persuades a producer, a studio and an audience the vision was worth the budget.
AI-resistant 73 🧩The scientist of mind and behavior, from Wundt's 1879 Leipzig laboratory to the therapy room — trained to hear what a person cannot yet say themselves.
AI-resistant 82 💱The scholar of scarcity — from Adam Smith's pin factory to the central-bank decision room, still asked to predict what no model fully captures.
AI-resistant 62 🔭The scientist who measures the universe, from Babylonian clay tablets to space telescopes, still deciding which flicker in the data is a discovery.
AI-resistant 70 ⚖️The person societies trust to decide: from Hammurabi's stele to AI-scored bail hearings, the hardest disputes still end in front of one accountable human.
AI-resistant 90Derives and tests the mathematical laws governing matter, energy, space and time, from a lone chalkboard to a 3,000-author particle-collider paper.
AI-resistant 65 🧬The scientist who studies life itself, from Linnaeus naming species by hand to editing genomes with CRISPR, still testing every idea against a living organism.
AI-resistant 64 🧪The scientist who makes and measures matter itself — from Tapputi's Babylonian perfume still to today's robot laboratories, still the one who decides what the spectrum means.
AI-resistant 70 📊Finds patterns and builds predictive models from data — a 2008 job title built on three centuries of counting, testing and visualizing evidence.
AI-resistant 38 🔭The scientist who measures the universe, from Babylonian clay tablets to space telescopes, still deciding which flicker in the data is a discovery.
AI-resistant 70 🧿Builds, measures and controls devices that exploit quantum states for computing, sensing, communication and materials research.
AI-resistant 78 🧫Uses clinical, trial and health-system data to generate reliable evidence for safer care, research and operational decisions.
AI-resistant 68