Head to head
Two Sigma vs D. E. Shaw
Two Sigma or D. E. Shaw?
Two Sigma is a systematic manager headquartered in New York; D. E. Shaw is a systematic manager headquartered in New York. On indicative total compensation D. E. Shaw sits roughly 5 percentage points higher against the market median. The larger difference for most candidates is the work itself: ml-driven alpha and statistical arbitrage at Two Sigma, versus systematic strategies and discretionary macro at D. E. Shaw.
| Two Sigma | D. E. Shaw | |
|---|---|---|
| Business model | Systematic manager | Systematic manager |
| Headquarters | New York | New York |
| Founded | 2001 | 1988 |
| Comp vs market median | +15% | +20% |
| Offices | New York, London, Hong Kong, San Francisco | New York, London, Hong Kong, Singapore |
| Strategies | ML-driven alpha, Statistical arbitrage, Alternative data, Systematic macro | Systematic strategies, Discretionary macro, Statistical arbitrage, Multi-strategy |
| Hires for | Quant Researcher, Quant Developer | Quant Researcher, Quant Developer, Systematic Portfolio Manager |
| Interview stages | 4 | 3 |
| Typical backgrounds | Machine learning PhDs, Statistics and physics research, Senior software engineers | PhD research, Olympiad backgrounds, Top-tier engineering |
Compensation by role
Indicative mid-level total compensation, US dollars, New York reference market.
| Role | Two Sigma | D. E. Shaw |
|---|---|---|
| Quant Researcher | $550k | $570k |
| Quant Developer | $430k | $440k |
| Systematic Portfolio Manager | — | $1.8m |
A dash means we hold no indicative figure for that role at that firm. It is recorded as unknown rather than estimated.
Two Sigma
Technology-company culture applied to systematic investing, with heavy use of machine learning and alternative data. Competes with AI labs and large technology firms as much as with other funds.
Interview process
- 1. ScreenRecruiter and technical background review.
- 2. Technical roundsStatistics, machine learning and coding.
- 3. Research discussionPresentation or deep dive on prior research work.
- 4. On-siteCross-team panel.
D. E. Shaw
One of the original quantitative funds and still among the most selective. Combines systematic and discretionary businesses, with a research culture that rewards depth over speed.
Interview process
- 1. ScreenHighly selective CV filter, then a technical call.
- 2. Technical roundsMathematics, probability and algorithmic reasoning at depth.
- 3. On-siteExtended panel with researchers and engineers.
Markets where both compete for talent
Other comparisons
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.