Senior Quantitative Researcher / Sub-PM

Alexander Chapman
City of London
1 month ago
Applications closed

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Title: Senior Quantitative Researcher / Sub-Portfolio Manager

Location: London

Team: Systematic Trading Strategies

About the Role

Seeking a highly skilled and experienced Senior Quantitative Researcher or Sub-Portfolio Manager to join a systematic trading team. The successful candidate will play a key role in the full lifecycle of alpha research and strategy development, with the potential to manage risk capital independently or transition into a lead PM role over time

Key Responsibilities
  • Design, research, and implement systematic trading strategies across global markets.
  • Conduct high-quality alpha signal research leveraging fundamental, alternative, and market data, using advanced statistical and machine learning techniques where appropriate
  • Develop and test robust portfolio construction, execution, and risk management models specifically tailored to equity markets
  • Work closely with data engineering and infrastructure teams to enhance research workflows, data pipelines, and backtesting capabilities
  • Continuously monitor and refine model performance, ensuring strategies remain competitive and scalable
  • Take ownership of strategy performance and contribute directly to the team’s overall equity P&L
  • Opportunity to transition into a standalone PM role or run a systematic sub-portfolio within defined risk parameters
Requirements
  • 5+ years of experience in quantitative research or trading with a focus on systematic strategies at a hedge fund, proprietary trading firm, or top-tier investment bank
  • Proven track record of alpha generation or contribution to profitable systematic strategies
  • Deep understanding of equity market microstructure, cross-sectional and time-series modeling, and portfolio optimization techniques
  • Strong programming skills in Python, C++, or similar, with experience handling large equity datasets (e.g., fundamentals, estimates, alternative data)
  • Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics)
  • Excellent communication and collaboration skills, with a team-oriented yet performance-driven mindset


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