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