Portfolio Manager – Systematic & Discretionary Macro

About the Opportunity

Portfolio Manager – Systematic & Discretionary Macro

Location: London

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?

About You

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.

Eligibility

• Non-compete: Preference for ≤12 months; buyouts considered for exceptional profiles.

Benefits

Compensation: $275k - $350k + Competitive Bonus. (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.)

About Company

At Onyx Alpha Partners, we are committed to connecting the most sought after talent in the financial world, to opportunities that expand the universe of unconstrained performance within their chosen discipline. If this opportunity aligns with your career aspirations, we encourage you to apply and explore the potential for growth and unparalleled success.

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