Head of Systematic Strategy - Equities - Asset Manager - eFinancialCareers : Job Details

We are working with a leading investment firm who are hiring for a Head of Systematic Strategy to join its investment team. The ideal candidate will have a strong track record managing long/short equity portfolios using a systematic or semi-systematic approach

The position covers the full lifecycle of systematic strategy management, from evaluating and maintaining alpha signals to implementing portfolio construction frameworks and risk controls. It also includes applying data science and machine learning to improve forecasting accuracy and process efficiency

The Opportunity

The successful candidate will work closely with cross-functional teams, including researchers, engineers, and analysts, to develop and manage alpha-generating strategies. The role involves integrating quantitative models into live portfolios, enhancing signal governance processes, and contributing to the evolution of the firm’s systematic investing capabilities. There is significant scope for innovation, with a focus on applying structured, rule-based approaches and advanced analytics to capital allocation and decision-making.

Key Responsibilities

• • Monitor and manage the performance, stability, and alignment of active alpha signals
  • Oversee the signal lifecycle, including onboarding, calibration, attribution, and retirement
  • Design and improve portfolio construction methodologies, considering factors such as cost, risk, exposure, and scalability
  • Apply machine learning techniques to strengthen signal robustness and forecasting
  • Build diagnostic and oversight tools for systematic signal and portfolio monitoring
  • Source and process a wide range of data types
  • Develop features and modelling approaches to enhance signal quality and mitigate overfitting

Requirements

• • 7+ years of experience managing long/short equity portfolios using a systematic approach
  • Proven ability to translate investment ideas into scalable, data-driven strategies
  • Strong knowledge of equity markets, alpha generation, and factor-based investing
  • Proficiency in programming languages such as Python or R
  • Practical experience with machine learning and statistical modelling techniques
  • Strong communication skills and ability to collaborate across technical and investment functions
  • Self-directed, with the ability to operate effectively in a fast-paced and evolving environment

To apply, please send your CV to