Lazard Data Analytics Group drives innovation by developing advanced AI and data science solutions that enhance decision-making across financial advisory and asset management business lines, ensuring Lazard stays competitive and efficient in a data-driven world.
Requirements
- Strong programming skills in Python
- Experience with object-oriented or functional programming
- Understanding of large language model (LLM) frameworks such as LangChain, LlamaIndex, and VectorDBs
- Interest in and exposure to agentic workflows, autonomous AI systems, and MCP (Model Context Protocol) agent development
- Experience building and maintaining data pipelines and working with large-scale structured and unstructured data
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Familiarity with APIs and microservices frameworks like FastAPI or Flask
Responsibilities
- design, prototype, test, and deploy AI-driven applications and data products that leverage machine learning, natural language processing, and generative AI
- work within the Data Services Team
- work closely with AI engineers, data scientists, software engineers, investment bankers, and senior management across the Firm
- leverage machine learning, natural language processing, and generative AI
- develop advanced AI and data science solutions
- build and maintain data pipelines
- work with large-scale structured and unstructured data
Other
- A bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- The ability to work both independently and collaboratively as a team player.
- Experience with relational and NoSQL databases (PostgreSQL, MongoDB, ElasticSearch, Redis).
- Comfortable working with Git, CI/CD tools, and modern development workflows.
- Exposure to containerization and orchestration tools (Docker, Kubernetes).
