Head of Quantitative Research & Structuring – Global Markets

About the role

Lead a team of quantitative researchers and structurers developing and maintaining quantitative strategies, portfolio methodologies, and model portfolios, while contributing to portfolio design, construction, and risk management. Apply machine learning and financial data analysis to generate and validate predictive insights, source and refine sell-side strategies, and support investment and trading teams with analytical tools. Requires a master’s degree in a quantitative discipline and at least 12 years of professional experience in quantitative research, strategy, or structuring, preferably in asset management, banking, or investment firms. Candidates should have strong Python skills, familiarity with relevant AI tools and machine learning deployment, and a solid understanding of machine learning methods; unstructured-data experience is a plus.