New York sub-market · Rank #1 of 17 for this discipline
Machine-learning alpha in New York
What is the machine-learning alpha market like in New York?
New York is one of the core global centres for machine-learning alpha. 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 12 of the firms we track run a New York desk. Pay sits at roughly 100% of the New York benchmark for the equivalent role and seniority, quoted in USD.
Machine-learning alpha compensation in New York
Modelled total compensation for the roles this discipline hires, across every seniority we model, in USD.
| Role | Range | Reference estimate |
|---|---|---|
| Quant Researcher | $230k – $2.5m | $475k |
| Quant Developer | $180k – $1.2m | $340k |
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.
KnowQuantIndex 2026.1 · Updated September 2026
Modelled bands describe the market, not an individual offer. Where an employer states pay, the stated figure is used and labelled as such.
New York · Machine-learning alpha · KnowQuant 2026.1