Holding period · Intraday to weeks
Machine-learning alpha
What is 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.
Who it hires, and what it pays
Mid-level total compensation, New York reference market.
| Role | What they do here | Mid-level total comp |
|---|---|---|
| Quant Researcher | Signal discovery and alpha research | $550k – $1.1m |
| Quant Developer | The engineering layer beneath the strategy | $380k – $700k |
Where it concentrates
Skills it rewards
Firms running it
Derived from published positioning and office footprint — an indication of where this strategy is practised, not a claim about current vacancies.
Other strategies
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.