Teams at Lazard

Develop production-grade quantitative research infrastructure and agentic AI pipelines, migrate R code to Python, automate workflows, and support quantitative research on financial signals, backtesting, and factor models. The role gradually shifts from engineering toward independent research ownership, including data evaluation, signal construction, empirical testing, diagnostics, and methodology documentation.

Six-month M&A internship supporting senior bankers and clients on financial transactions. Responsibilities include financial and statistical analysis, company and industry research, client presentations, marketing materials, administrative and project work, and deal execution. Candidates should be completing or nearing completion of studies in Economics, Finance, or a related field, demonstrate strong academic performance, and be fluent in English and Danish.

Supports financial advisory transaction teams through financial and statistical analysis, company and industry research, and preparation of client presentations and marketing materials. The 12-month London industrial placement provides exposure to sector or product teams, bankers, clients, and senior finance professionals, with potential progression to the following year’s Analyst programme.