Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinancialCareers

Responsibilities • Research and design new systematic equity strategies and products using proprietary data and modern portfolio construction. • Partner with Portfolio Engineering to implement and productionise equity quant capabilities. • Enhance and maintain the existing suite of factor and risk models. • Run standalone research projects culminating in white papers and client-facing presentations. • Improve the shared research platform, tools and data workflows. • Collaborate with colleagues across equities, multi-asset, distribution and technology teams globally. • Showcase and explain systematic capabilities to internal stakeholders and external clients. Requirements • Experience in quantitative equity research and/or portfolio construction. • Knowledge of equity factors, risk models, optimisation, sustainability integration and portfolio construction techniques. • MSc or PhD in a quantitative field (e.g., statistics, econometrics, numerical methods). • Strong Python skills (pandas, NumPy) and proficiency with large datasets. • Understanding of modern AI/ML techniques applied to equity portfolios. • Excellent written and verbal communication. • Self-starter with commercial awareness and high ethical standards.