Description
Lazard Asset Management is hiring a Quant Developer / Researcher in London for its Quantitative Research team. The role is initially split between quantitative development and research, with responsibilities including scaling research code, building agentic AI pipelines, automating workflows, migrating R code to Python, and taking research models and backtesting frameworks into production. Over time, the candidate will work on return-forecasting signals, empirical testing, data vetting, and increasingly independent research ownership. The position requires exceptional Python and R programming, AI pipeline knowledge, capital markets understanding, quantitative research exposure, modern engineering practices, and a postgraduate qualification or comparable evidence of research capability.
