Alpha Capture QR - Selby Jennings

eFinancialCareers
London, United Kingdom
3 weeks ago
Applications closed

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Quantitative Researcher - Alpha Capture (Systematic Strategies)

We are working with a leading systematic investment firm looking to hire a Quantitative Researcher to focus on alpha signal generation within a collaborative, research-driven environment. This role sits within a high-performing team responsible for identifying, developing, and deploying systematic trading strategies across liquid markets.

Key Responsibilities:

  • Research and develop alpha signals using large, diverse datasets (market + alternative data)
  • Apply advanced statistical techniques and machine learning methods to uncover predictive signals
  • Take ownership of the full research lifecycle, including data analysis, feature engineering, model development, backtesting, and performance evaluation
  • Work closely with portfolio managers and engineers to implement strategies into production
  • Continuously refine and improve existing models based on live performance and new data sources
  • Contribute to idea generation, exploring new methodologies and datasets to enhance alpha capture

Requirements:

  • Strong academic background in a quantitative discipline (e.g. Mathematics, Physics, Computer Science, Engineering, Statistics)
  • Proven experience in systematic alpha research within a buy-side, prop trading, or similarly rigorous environment
  • Strong programming skills (Python essential; C++/Java beneficial)
  • Solid understanding of statistics, machine learning, and time series modelling
  • Experience working with large datasets and building research pipelines end-to-end
  • Track record or demonstrable experience contributing to deployable trading strategies is advantageous
  • Strong problem-solving mindset with the ability to operate in a highly research-focused environment

What the Role Offers:

  • Direct exposure to alpha generation and strategy deployment in a performance-driven environment
  • Access to high-quality data, infrastructure, and engineering support
  • Collaborative, low-bureaucracy culture with a strong emphasis on research autonomy
  • Competitive compensation structure aligned with performance
  • Opportunity to work alongside experienced researchers and PMs in a globally recognised platform

This is an opportunity suited to individuals who enjoy deep research, have a strong interest in systematic trading, and want to see their work translate into live investment strategies.

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