Jobs at Lazard

Lead design and delivery of a cloud-native quantitative data ecosystem: build ingestion, storage, modeling, pipelines, governance, vendor/data integration, support legacy systems, mentor engineers, and collaborate with researchers.

Own and validate quantitative financial datasets used for factor and risk models: onboard and reconcile vendor sources, build automated data validation/monitoring, investigate anomalies, write Python/SQL pipelines, maintain documentation and runbooks, and collaborate with internal teams and vendors to productionize and maintain reliable data workflows.

Work on Telecom & Digital Infrastructure M&A and advisory engagements by building financial models, preparing client presentations, interacting with senior clients, managing deal processes, and mentoring analysts.

Perform fundamental equity research across US Industrials sub-sectors: develop primary sources, analyze financials, build valuation and comparable models, quantify risk/reward, assess sector and macro risks, and communicate investment ideas.