Portfolio Manager – Systematic & Discretionary Macro

Onyx Alpha Partners; New York (NY); Hybrid; USD 275,000 - 350,000; Full time

Job summary

Onyx Alpha Partners is seeking a Portfolio Manager who combines discretionary macro intuition with systematic signal generation in New York. The ideal candidate has over 7 years of experience with a proven track record in generating alpha and managing systematic macro signals. Responsibilities include building quantitative models to detect regime transitions and non-consensus opportunities. Competitive compensation of $275k - $350k plus PnL cut. This role offers a unique opportunity to leverage proprietary AI/ML infrastructure across global markets.

Qualifications

• 7+ years of verifiable live PnL combining discretionary macro and systematic signal generation.
• Sharpe ratio ≥ 1.5 over rolling 2-year windows.
• Demonstrable alpha from both consensus and non-consensus positioning.

Responsibilities

• Engineer ML or quantitative features from macro data to surface non-consensus opportunities.
• Build a quantitative early-warning system for macro regime shifts.
• Manage the lifecycle of systematic macro signals without overfitting.

Skills

Expert Python

Expert SQL

Machine Learning

Signal Generation

Feature Engineering

Job description

Portfolio Manager – Systematic & Discretionary Macro

Location: New York (Primary) / London (Remote-flexible)

The Mandate

We are partnering with a global multi-strategy investment firm seeking a Portfolio Manager who operates at the boundary of discretionary macro intuition and systematic signal generation. The mandate spans global rates (US, EU, UK, Japan, EM) and FX, with an explicit emphasis on applying machine learning and quantitative frameworks to detect regime transitions and RV opportunities before consensus.

This is not a pure systematic seat — discretionary macro judgment remains central. The differentiator is the ability to codify that judgment into testable, scalable, deployable models. Prior experience at both discretionary macro and systematic shops is a strong signal.

The Hard Questions (What You Will Solve)

• Systematic Non-Consensus Signal Architecture: How do you engineer ML or quantitative features from macro data — central bank communications, inflation surprises, flow patterns — that surface non-consensus opportunities a pure discretionary trader would miss?
• Regime Transition Detection at Speed: How do you build a quantitative early-warning system for macro regime shifts (tightening→easing, growth→recession, EM stress) using high-frequency or alternative data — before the regime is consensus-confirmed?
• Signal Decay and Capital Scalability: How do you manage the lifecycle of a systematic macro signal — detecting decay, rotating alpha sources, and scaling capital deployment — without overfitting to recent regimes?

The Structural Edge

• Proprietary AI/ML Infrastructure: Firm-level investment in NLP-driven central bank communication analysis, nowcast macro models, and volatility regime classifiers — available as a foundation, not a starting-from-scratch build.
• Cross-Asset Execution Reach: Direct access across global rates and FX markets (US, EU, UK, Japan, EM). Unified risk framework integrating systematic signals with discretionary overlays.
• Scalable Capital: $200M–$500M+ across global rates and FX. Capital scales aggressively as systematic signal quality is independently validated.

Ideal Profile

• The Metric: 7+ years of verifiable live PnL combining discretionary macro and systematic signal generation. Sharpe ≥ 1.5 over rolling 2-year windows. Must demonstrate alpha from both consensus and non-consensus positioning — not one-regime performance.
• The Tech: Expert Python/SQL. Hands-on experience building and backtesting ML models (classification, regression, regime-switching). Feature engineering from macro and alternative data. Not a pure researcher — models must have reached live deployment.

Compensation & Preferences

• Non-compete: Preference for ≤12 months; buyouts considered for exceptional profiles.
• Compensation: $275k - $350k + Formulaic PnL Cut. 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.