Quantitative Trader

About the role

The Quantitative Trader will research, develop, and deploy high‑frequency and systematic foreign‑exchange (FX) trading strategies, leveraging market microstructure insights and advanced quantitative techniques to improve pricing, execution, and risk management.

Key responsibilities

• Develop high‑frequency FX trading strategies using order‑book dynamics and short‑horizon signals.
• Build and maintain a robust research stack, including tick‑data pipelines, signal libraries, and backtesting frameworks.
• Model market microstructure aspects such as queue position, fill probability, latency, adverse selection, and execution costs.
• Validate strategies with rigorous statistical methods, out‑of‑sample testing, and walk‑forward analysis.
• Deploy trading models into production and take ownership of performance and P&L.
• Monitor execution quality, latency, slippage, and signal decay; optimise or retire strategies as needed.
• Optimise execution through smart order routing and venue selection.
• Ensure compliance with risk frameworks and regulatory requirements.
• Apply strong risk controls, including position sizing, drawdown management, and kill switches.

Required profile

• Either 3+ years of high‑frequency or systematic trading research experience, or an advanced academic/research background in quantitative finance.
• Strong programming skills in Python (C++ or other low‑latency languages advantageous).
• Deep knowledge of market microstructure.
• Strong statistical and backtesting expertise.
• Experience with tick data and execution simulations.
• Proven risk‑management experience.
• Experience with FX markets (spot, forwards, NDFs).
• Knowledge of low‑latency or co‑location environments and execution APIs.
• Live‑trading track record in systematic or HFT strategies.

Required skills

• Python
• C++
• Java
• Statistical analysis
• Machine learning
• Time‑series modelling
• Tick‑data handling
• Backtesting frameworks
• Market microstructure modelling
• Execution APIs
• Low‑latency programming
• Co‑location environments
• Risk‑management controls