Head of Quant Macro | New York

Found and lead a new systematic macro vertical inside an established quantitative hedge fund. You hire the team, set the research agenda, run the risk and own the P&L.

A founder's seat with full ownership of a new business line, not a research role inside an existing one.

This is not a discretionary macro seat. The edge comes from systematic signals and rigorous portfolio construction, not top-down views.

This is not a pure research seat. You allocate risk, manage drawdowns and answer for the returns.

The Hard Questions (What You Will Solve)

Where does a systematic macro book earn returns that the equity stat arb book does not already capture, and how do you keep the two uncorrelated at the fund level?

How do you build a research process for markets with short histories, regime shifts and limited independent observations, and still keep the Sharpe high out of sample?

How do you scale capital and sequence headcount from zero to a full vertical without diluting research quality?

The Structural Edge

Full autonomy over strategy, hiring, research direction and risk within an agreed risk budget.

Capital from day one and a defined path to a larger allocation as the book delivers performance.

A fund with a track record of high risk-adjusted returns and a research culture you can recruit into.

Ideal Profile
Key Metrics

A track record of running or leading systematic macro research or trading at a hedge fund or proprietary firm, with audited or verifiable Sharpe above what the fund targets.

Experience building a strategy or team from scratch, or taking one from early capital to scale.

Depth across one or more of rates, FX, commodities or cross-asset macro, with a research framework that has held up through changing regimes.

Evidence of leading senior researchers: hiring, setting standards and developing talent.

Ideas you can walk through end to end: the hypothesis, the validation, the sizing, the risk and the realised outcome.

Strong Python for research, backtesting and production signal work.

Statistical and econometric depth suited to low-frequency, low-sample data (time series, regime modelling, robust inference).

Comfort with large datasets and a working view of the full pipeline from data to execution.

Compensation & Preferences

Base salary: USD 350,000 - 500,000, set by experience and track record.

Incentive compensation: performance-based and aligned to the P&L of the vertical, with terms agreed at offer.

Non-compete: expected. The client is willing to consider applicants with up to 12 months non-compete.

Relocation: support is available for candidates moving to New York.

This is not a guarantee of compensation or salary; a final offer amount may vary based on factors including but not limited to experience, domain expertise, and geographic location.

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