Quantitative · Stable

Statistics and probability

Why does Statistics and probability matter in quant?

Statistics and probability are the common core of every quantitative role, and the component that filters most candidates out. Interviews test applied reasoning under time pressure rather than textbook recall.

Every track — research, trading, engineering — carries a probability component in its interview loop. Engineers underprepare for this more than any other area.

Demand right now, measured

High confidencen=168

Live vacancies asking for it

168

Share of quant roles

17.1%

Core quant vacancies mentioning it

Quant signal

3.33×

Versus other roles at the same firms

Firms asking

17

Across 13 cities

Based on 168 vacancy mentions across 17 employers. Counts come from employer-operated job boards we read directly; classification is rule-based and inspectable.

Which roles ask for it

Percentage of that role's live vacancies mentioning Statistics and probability.

Where it is being hired

Live vacancies mentioning Statistics and probability, by city.

See all 168 vacancies asking for Statistics and probability

Backgrounds this comes from

  • Mathematics and physics degrees
  • Statistics doctorates
  • Competitive mathematics

Other skills

Last updated September 2026 · KnowQaunt 2026.1

Methodology

Figures are expressed as annual total compensation (base salary plus expected performance bonus) in the reference market's local currency, converted from a US dollar base. They describe typical market ranges rather than any individual offer, and exclude sign-on payments, deferred equity and carried interest. Portfolio-manager figures reflect formulaic profit-share arrangements and are therefore far more dispersed than any other role.

KnowQaunt 2026.1 · Updated September 2026

These are indicative ranges pending first-party verification. They will be replaced by verified submissions as the Quant Salary Index dataset builds.