Quantitative Researcher - Macro

About the Role

We are seeking two Macro Intraday Quantitative Researchers to join an expanded research team at a top-tier systematic macro hedge fund located in London. This opportunity involves working closely with a seasoned senior portfolio manager who is actively developing a new strategy with significant capital allocation and the freedom to design and refine trading signals.

Key Responsibilities

• Designing and backtesting linear statistical models to forecast macroeconomic directional moves, analyze term structures, and identify mean reversion and relative value opportunities.
• Extracting and engineering features from macroeconomic time-series datasets, such as interest rates, foreign exchange, commodity prices, and volatility surfaces, with rigorous signal validation using walk-forward techniques.
• Collaborating on signal prioritization and portfolio assembly alongside the portfolio manager; monitoring live trading activities and addressing signal performance issues.
• Maintaining thorough documentation of methodologies and ensuring the robustness of the signal backtesting framework; continuously refining models based on ongoing market feedback.
• Working in conjunction with execution and risk teams to enhance order processing and effectively control portfolio drawdowns.

Candidate Requirements

• Between 3 to 8 years of experience developing systematic trading strategies within macro hedge funds, Commodity Trading Advisors (CTAs), or systematic asset management firms.
• Strong expertise in statistical modeling methods including Ordinary Least Squares (OLS), Generalized Linear Models (GLM), time-series analysis, and state-space models, with demonstrated skill in tuning and validating predictive signals.
• Proficiency in programming languages such as Python and C++, or other comparable languages suited for production-level research coding.
• In-depth domain knowledge of macro markets such as FX, rates, commodities, or volatility, or alternatively a solid quantitative foundation with the ability to learn domain-specific knowledge rapidly.
• Experience operating with backtesting platforms and applying walk-forward validation processes to assess strategy robustness.
• Ability to thrive in a research-focused, hypothesis-driven environment with strong intellectual curiosity and analytical rigor.