Macro Directional Portfolio Manager

About the Opportunity

A leading multi-strategy hedge fund is seeking an experienced Macro Directional Portfolio Manager to run a dedicated pod focused on global macro strategies. You will have full autonomy to deploy firm capital across rates, FX, commodities, equity indices, and sovereign credit, expressing directional and relative value views on macroeconomic themes, policy shifts, geopolitical events, and economic cycles.

Responsibilities

• Develop and manage a macro directional book, generating alpha through top-down views on interest rates, currencies, commodities, and cross-asset relative value trades.
• Identify and capitalize on macro catalysts (central bank policy, inflation dynamics, growth surprises, geopolitical risks, elections, etc.) via outright directional positions, curve trades, carry strategies, and options/volatility plays.
• Construct and dynamically adjust portfolios with rigorous risk management, sizing positions based on conviction, correlation, and scenario analysis.
• Conduct in-depth macroeconomic research, interpret data releases, and build thematic frameworks to drive trade ideas.
• Monitor and manage live risk in real-time, adjusting exposures across market regimes while adhering to pod-level risk limits.
• Present ideas and performance to senior management and partners; contribute to firm-wide macro discussions.
• Leverage central resources (quant research, data science, execution algos, low-latency infrastructure) to enhance idea generation and implementation.

Skills and Qualifications

Proven track record of consistent, risk-adjusted profitability (Sharpe >1.0, positive returns across cycles) running macro directional strategies at a hedge fund, bank prop desk, or family office.

Deep expertise in global macro themes, with strong views on rates/FX/commodities and cross-asset relationships.

Ability to articulate clear, high-conviction theses backed by fundamental analysis and quantitative tools.

Excellent risk management discipline, with experience navigating drawdowns and volatile regimes.

Strong communication skills for idea presentation and collaboration with central teams.

Advanced degree (Economics, Finance, Mathematics, or related) preferred; CFA or similar qualifications a plus.

Programming skills (Python/R for data analysis) advantageous but not required.