Portfolio Manager, Systematic Equity Market Neutral (Statistical Arbitrage)

Onyx Alpha Partners; New York (NY); On-site; USD 300,000 - 600,000; Full time

Job summary

Onyx Alpha Partners is seeking a Portfolio Manager to run a systematic equity market neutral statistical arbitrage book at size in a collaborative research environment. The seat is medium frequency with codified rules and no discretionary override.

You will be accountable for capacity, turnover and residual factor exposure, while advancing data-driven signals and risk controls across multiple market regimes. Collaboration is central to the role.

Qualifications

• 8+ years running systematic equity market neutral or statistical arbitrage with a live track record.
• Experience across multiple market regimes; desirable: quant factor unwind.
• Python for signal research and portfolio construction; knowledge of portfolio optimisation and risk modelling.

Responsibilities

• Manage capacity, turnover and residual factor exposure of the book.
• Maintain a data-driven research pipeline to introduce new signals.
• Ensure scalable process across multiple market regimes.
• Collaborate in a research culture sharing tools and reviews.

Skills

Systematic trading

Equity market neutral

Python

Portfolio construction

Risk modelling

Job description

Onyx Alpha Partners are recruiting a portfolio manager to run a systematic equity market neutral statistical arbitrage book at size, in a collaborative research environment.

The seat is a medium frequency (days to weeks), fully codified book where signal logic and sizing are rules with no discretionary override. The portfolio manager is accountable for capacity, turnover and the book's residual factor exposure.

The Hard Questions (What You Will Solve)

Capacity: where does your book stop scaling, and what do you change first when it gets there: the universe, the holding period, or the signal mix?

Data: what makes a new dataset worth putting into production, and what has made you kill one that tested well?

Research Pipeline: how do you keep new signals coming while running live risk, and what is your bar for promoting a backtest into the book?

The Structural Edge

Capital that follows validated performance, in a research culture that shares tools and review.

A seat focused on portfolio decisions, where data, execution and research tooling are shared.

Ideal Profile

The Metric: essential, 8+ years running systematic equity market neutral or statistical arbitrage risk, with a live record at meaningful size, net of costs, through more than one market regime. Desirable, experience successfully navigating a quant factor unwind.

The Tech: essential, Python for signal research and portfolio construction. Desirable, portfolio optimisation and risk model construction.

Compensation & Preferences

Availability: candidates with 12-18 months non-competes will be considered.

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.