AI & Data Intern: Elevate Investment Research

Lazard; New York (NY); On-site; USD 4,095,000 - 4,550,000; Full time

Job summary

Lazard is seeking an AI & Data Intern to join the AI and Transformation team in New York City for a ten-week summer internship. You’ll work with portfolio managers, research analysts and data teams to prototype AI-native research tools and data pipelines that support investment decisions.

The role sits closer to product work than pure engineering; you’ll write code, reason about data, and translate investment workflows into clear product specs while gaining exposure to the investment research

Qualifications

• Currently pursuing a Bachelors or Advanced Degree in Financial Engineering, Data Science, or a related quantitative field.
• Strong finance background and a data-driven mindset.
• Ability to translate between technical and business stakeholders.
• Genuine interest in financial products and how data informs product decisions.

Responsibilities

• Work with portfolio managers, research analysts and data teams to identify where AI can improve the investment research process.
• Help define requirements and build prototypes for AI-native research tools, including agentic workflows and structured extraction of financial data.
• Write working code for data pipelines, evaluation harnesses and agent/prompt iteration.
• Analyze investment and market data to test whether a tool improves research or investment outcomes.
• Translate between investment and engineering audiences, turning an investment workflow into a clear product specification.

Skills

Finance background

Data science principles

Analytical skills

Communication skills

Interest in financial products

Education

Bachelors or Advanced Degree in Financial Engineering or Data Science

Job description

Lazard is seeking an AI & Data Intern to join the AI and Transformation team in New York City for a ten-week summer internship. You’ll work with portfolio managers, research analysts and data teams to prototype AI-native research tools and data pipelines that support investment decisions.

The role sits closer to product work than pure engineering; you’ll write code, reason about data, and translate investment workflows into clear product specs while gaining exposure to the investment research