Responsibilities
*Research and enhance equity factor models and portfolio construction techniques
*Design and prototype new systematic equity strategies and products
*Translate research into implementable signals within production platforms
*Partner with the portfolio engineering team on model implementation and execution
*Conduct standalone research leading to white papers and presentations
*Engage with distribution to articulate capabilities and support AUM growth
*Integrate systematic research into discretionary investment processes
Requirements
*Experience in quantitative equity, with a track record in equity factors and portfolio construction
*Deep knowledge of risk models, optimisation and sustainability integration
*Strong Python programming (pandas, NumPy) and data manipulation skills
*Proven ability to work with large datasets and research infrastructure
*Understanding of artificial intelligence (AI) and machine learning (ML) techniques applied to equity portfolios
*Postgraduate degree (MSc/PhD) in a quantitative discipline
*Evidence of published research or conference presentations is advantageous