Paris sub-market · Rank #8 of 10 for this discipline

Statistical arbitrage in Paris

What is the statistical arbitrage market like in Paris?

Paris is a secondary centre for statistical arbitrage, with demand concentrated in a smaller set of desks. Statistical arbitrage trades large baskets of related instruments on mean-reversion and relative-value relationships identified statistically. It is the classic quant research discipline and the deepest employer of doctoral researchers. Typical holding horizon is intraday to weeks, hiring concentrates on quant researcher, quant developer, systematic portfolio manager, and 3 of the firms we track run a Paris desk. Pay sits at roughly 68% of the New York benchmark for the equivalent role and seniority, quoted in EUR.

Statistical arbitrage compensation in Paris

Mid-level total compensation for the roles this discipline hires, in EUR.

Statistical arbitrage compensation by role in Paris
RoleRangeMedian
Quant Researcher€144k – €1.6m€297k
Quant Developer€113k – €751k€213k
Systematic Portfolio Manager€313k – €9.4m€782k

Where statistical arbitrage ranks by market

  1. 1New YorkCore centre · pay index 100
  2. 2LondonCore centre · pay index 86
  3. 3Hong KongCore centre · pay index 85
  4. 4ChicagoSecondary · pay index 97
  5. 5SingaporeSecondary · pay index 82
  6. 6AmsterdamSecondary · pay index 74

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.

Paris · Statistical arbitrage · KnowQaunt 2026.1