Quantitative Researcher - Macro

Qenexus; Greater London; On-site; GBP 120,000 - 210,000; Full time

Job summary

Qenexus in London is hiring two Macro Intraday Quantitative Researchers to join a newly expanded research team. You will work directly with a senior macro PM building out a strategy with significant capital allocation and autonomy over signal development.

This intraday to short-term role focuses on cross-asset futures across FX, rates, commodities, and equity index futures; you will own the full research cycle from signal generation and backtesting to live monitoring and iteration.

Qualifications

• 3-8 years of experience building systematic trading strategies.
• Strong foundation in statistical modeling and ability to hand-fit signals.
• Proficiency in production research code (Python/C++).

Responsibilities

• Develop and backtest linear statistical models for macro directional forecasting, term structure analysis, mean reversion, and relative value signals
• Engineer features from macro time-series data and validate signal robustness using walk-forward analysis
• Collaborate with the PM on signal prioritization and portfolio construction; monitor live trading and diagnose signal degradation
• Document methodology and maintain rigorous signal backtesting infrastructure; iterate based on live performance
• Partner with execution and risk teams to optimize order flow and manage portfolio drawdowns

Skills

Statistical modeling

Python/C++

Backtesting

Walk-forward validation

Macro domain knowledge

Time-series analysis

Tools

Backtesting frameworks

Job description

We're hiring 2 Macro Intraday Quantitative Researchers to join a newly expanded research team at a leading systematic macro hedge fund. You'll work directly with a proven macro senior PM who's building out his strategy from the ground up, with significant capital allocation and autonomy over signal development.

This is an intraday to short-term role (hours to days holding periods) focused on cross-asset futures across FX, rates, commodities, and equity index futures. You'll own the full research cycle: signal generation, backtesting, live monitoring, and iteration based on market feedback.

Responsibilities of the role:

• Develop and backtest linear statistical models for macro directional forecasting, term structure analysis, mean reversion, and relative value signals
• Engineer features from macro time-series data (rates, FX, commodity prices, volatility surface) and validate signal robustness using walk-forward analysis
• Collaborate with the PM on signal prioritization and portfolio construction; monitor live trading and diagnose signal degradation
• Document methodology and maintain rigorous signal backtesting infrastructure; iterate based on live performance
• Partner with execution and risk teams to optimize order flow and manage portfolio drawdowns

Requirements of the role:

• 3-8 years of experience building systematic trading strategies at a macro hedge fund, CTA, or systematic asset manager
• Strong foundation in statistical modeling (OLS, GLM, time-series analysis, state-space models) and proven ability to hand-fit and validate signals
• Proficiency in Python, C++, or equivalent for production research code
• Domain knowledge in macro (FX, rates, commodities, or volatility) or strong quantitative background with ability to pick up domain quickly
• Experience with backtesting frameworks and walk-forward validation methodologiesComfort working in a research-driven, hypothesis-testing environment with genuine intellectual curiosity