Systematic Trading
Systematic Trading and Portfolio Management Recruitment
Search across systematic equities, statistical arbitrage, futures and macro, covering research, portfolio management, execution, risk and the infrastructure that supports them.
Systematic hiring is a question of transferability. A signal that works in equities intraday does not necessarily carry into futures at a slower horizon, and neither does the researcher who built it.
We map candidates by strategy, horizon, universe and capacity rather than by asset class label, which is what makes the difference between a plausible CV and a credible hire.
01
Strategy coverage
- 01Systematic equities, including market neutral and long-short
- 02Statistical arbitrage across intraday and multi-day horizons
- 03Futures and managed futures, including trend and carry
- 04Systematic macro and cross-asset strategies
- 05Alternative data driven strategies where the data is genuinely differentiating
02
Portfolio management and live risk
For portfolio management searches, the qualification is direct: what book was run, what mandate governed it, what discretion the manager held and how the strategy behaved when conditions changed.
We also establish capacity honestly. A strategy that works at fifty million and breaks at five hundred is a different hire, and both sides are better served by saying so early.
03
Execution, risk and infrastructure
Systematic performance is often decided after the signal. Execution quality, transaction cost modelling and risk controls determine how much of a paper edge survives contact with the market.
We cover execution researchers, risk quants and the research infrastructure engineers who keep the whole pipeline reproducible.
04
Restrictions and timing
Non-competes, garden leave and deferred compensation often shape the hiring timetable as much as the technical brief. We establish restrictions at the first conversation, not at offer stage.
Where a candidate is worth waiting for, we say so, and plan the search around the date they are actually available.
Common technical ground
- Python
- Statistics
- kdb+/q
- Portfolio Construction
- Transaction Cost Analysis
- Risk Modelling
- Backtesting