Quantitative Research Engineer

About the role

Build and maintain Python-based research tools, Azure cloud services, data pipelines, and quantitative models, integrating AI tools and data from internal systems and external APIs. Produce investment and capital markets research, support analysts and consultants with custom analysis, and communicate quantitative findings clearly to colleagues and clients. Requires at least three years of experience in quantitative analysis, research, or data-focused work, with strong Python skills and experience building production tools and data pipelines. Candidates should also have experience with SQL, Power BI, R, Excel, cloud deployment (ideally Azure), AI coding tools, quantitative methods, and financial markets; a bachelor's degree in a quantitative or technical field is required, while an advanced degree is a plus.