Global financial advisory and asset management with AI-driven compliance automation
Lazard operates a dual-revenue business spanning financial advisory (M&A, capital solutions, restructuring) and institutional asset management across six continents. The tech stack reveals a firm in transition: core advisory relies on Bloomberg, FactSet, and Excel, but active adoption of Python, TensorFlow, PyTorch, and LangChain—plus a new Head of AI role—signals serious investment in automated reporting, risk modeling, and regulatory compliance. Hiring skews heavily toward interns and finance roles, with a small but visible engineering cohort (7 open roles) supporting backend infrastructure and AI tooling.
Notable leadership hires: Head of AI
Lazard is a publicly traded financial services firm headquartered in New York with a 175-year operating history. The firm serves institutions, corporations, governments, family offices, and high-net-worth individuals across advisory (M&A, capital markets, restructuring, geopolitical consulting) and asset management. Active projects cluster around three areas: regulatory compliance (DORA implementation, legal monitoring), ESG strategy and reporting, and integration with Bloomberg Port Enterprise to streamline portfolio workflows. The organization spans North America, South America, Europe, Middle East, Asia-Pacific, and Australia, with hiring currently active in 11 countries including the US, UK, France, UAE, and Singapore.
Core tools: Bloomberg, FactSet, Excel, PowerPoint, Salesforce, SAP. Analytics: Power BI, Tableau, Python, SQL. ML/AI: TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex. Infrastructure: AWS, PostgreSQL, FastAPI, Flask.
Key projects: DORA compliance implementation, ESG strategy and reporting, Bloomberg Port Enterprise integration, portfolio risk monitoring and stress testing, and internal activity tracking tool development.
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