Hong Kong sub-market · Rank #6 of 10 for this discipline

Machine-learning alpha in Hong Kong

What is the machine-learning alpha market like in Hong Kong?

Hong Kong is a secondary centre for machine-learning alpha, with demand concentrated in a smaller set of desks. Machine-learning driven strategies use modern statistical learning and alternative data to find non-linear structure in markets. It is the fastest-growing research discipline and competes directly with AI labs for talent. Typical holding horizon is intraday to weeks, hiring concentrates on quant researcher, quant developer, and 13 of the firms we track run a Hong Kong desk. Pay sits at roughly 85% of the New York benchmark for the equivalent role and seniority, quoted in HKD.

Machine-learning alpha compensation in Hong Kong

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

Machine-learning alpha compensation by role in Hong Kong
RoleRangeMedian
Quant ResearcherHK$1.5m – HK$17mHK$3.1m
Quant DeveloperHK$1.2m – HK$8.0mHK$2.3m

Where machine-learning alpha ranks by market

  1. 1New YorkCore centre · pay index 100
  2. 2LondonCore centre · pay index 86
  3. 3San FranciscoCore centre · pay index 95
  4. 4ChicagoSecondary · pay index 97
  5. 5SingaporeSecondary · pay index 82
  6. 6Hong KongSecondary · pay index 85

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.

Hong Kong · Machine-learning alpha · KnowQaunt 2026.1