Career graph

The Quant Career Graph

Four routes into quantitative finance and the progression that follows each one.

What backgrounds do quants come from?

Four routes dominate. Physics and maths PhDs move into quant research; software engineers move into quant development and low-latency engineering; quantitative graduates enter directly as trainee traders; and bank quants move from pricing and risk onto the buy side. No single route is required — the common factor is demonstrable mathematical and programming ability.

Physics or maths PhD

The classic research route. Signal discovery rewards people trained to test hypotheses against noisy data.

  1. 01

    Physics / maths PhD

    Empirical research training, statistics, heavy programming

  2. 02

    Quant researcher

    Signal research under a senior researcher

  3. 03

    Senior quant researcher

    Owns a signal family and its live P&L

  4. 04

    Lead researcher

    Directs a research agenda, mentors juniors

  5. 05

    Portfolio manager

    Owns a book and a compensation formula

Software engineer

The largest and most underrated route in. Strong systems engineers are scarcer in quant than strong mathematicians.

  1. 01

    Software engineer

    Production systems, performance work, C++ or Rust

  2. 02

    C++ / systems engineer

    Trading-adjacent infrastructure

  3. 03

    Low-latency engineer

    Kernel bypass, network path, hot-path optimisation

  4. 04

    Quant developer

    Research platform and execution systems

  5. 05

    Trading infrastructure lead

    Owns the stack a desk trades on

Quantitative graduate

The direct route: a strong undergraduate or master's in a quantitative subject straight into a trading seat.

  1. 01

    MSc / BSc quantitative subject

    Maths, CS, statistics, engineering

  2. 02

    Graduate trader

    Rotational training, then a product

  3. 03

    Quant trader

    Runs risk on a product or venue

  4. 04

    Senior trader

    Owns a desk's risk and its junior traders

  5. 05

    Portfolio manager

    Independent book on a platform

Bank quant

The sell-side route. Pricing and risk work is the most common entry point into the industry overall.

  1. 01

    Quant analyst

    Derivatives pricing, model validation, risk

  2. 02

    Senior quant analyst

    Owns a model library or asset class

  3. 03

    Buy-side quant researcher

    Move to a fund; alpha rather than pricing

  4. 04

    Senior researcher / PM

    Systematic strategy ownership

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.