Quantitative Researcher - Strategy

Key Responsibilities

• Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques.
• Conduct quantitative research and develop valuation models across both public and private markets.
• Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks.
• Build and enhance risk models, performance attribution frameworks, and investment analytics.
• Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment.
• Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights.
• Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes.

Experience

Education

Technical Skills & Knowledge

• Strong programming skills in Python or another object-oriented language, with experience developing production-quality code.
• Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.
• Knowledge of SQL, cloud platforms, and Git-based development practices.
• Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation.
• Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.