Real Analysis felt painfully abstract at the time. Three years later, I use measure theory every single day to build trading models.
Priya Nair
Quantitative Researcher · Two Sigma
No. 01 — a field guide
ƒ(career) = passion · rigor
note
for the curious, the precise, the pattern-seekers.
takes about 3 minutes · no account needed
No. 02 — more than equations
Designing the algorithms that secure your data, pricing the derivatives that manage financial risk, building the models that power AI, proving the theorems that become tomorrow's technology.
A mathematics degree is unique in how transferable it is. The abstract reasoning, rigorous proof-writing, and quantitative modeling skills it builds are the exact toolkit that every data-driven industry is desperately seeking.
“Pure mathematics is, in its way, the poetry of logical ideas.”
Train your brain to reason precisely about hard problems — the rarest cognitive skill in any workforce.
Finance, AI, cryptography, physics, engineering, medicine — math underlies every quantitative field.
Switch between academia and industry freely. Math expertise translates across sectors.
Several math-heavy roles have high median pay and strong projected growth in public labor data.
No. 03 — career paths
No. 04 — find your path
Answer a few honest questions and we'll identify whether you're a Pure Mathematician, Applied Mathematician, Data Scientist, or Actuary at heart.
before we begin
this helps us tailor the questions to you
No. 05 — alumni
Real Analysis felt painfully abstract at the time. Three years later, I use measure theory every single day to build trading models.
Priya Nair
Quantitative Researcher · Two Sigma
A math PhD teaches you how to think through hard problems — that's the actual skill, not the theorems.
Marcus Webb
Research Scientist, AI · Google DeepMind
I passed three actuarial exams before graduating. By the time my classmates were job hunting, I already had two competing offers.
Sofia Delgado
Fellow of the Society of Actuaries · Milliman
No. 06 — questions