Quantitative Research Internship

Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.

The Quantitative Research Team at Lazard Asset Management applied advanced statistical and computational techniques to address real-world investment challenges. We combine cutting-edge quantitative methods with deep market insights to drive better investment outcomes for clients. 

Our hands-on, 10-week internship is designed for students who are interested in pursuing a career in quantitative research. You will work directly with the investment professionals on real investment problems where your contributions have measurable impact from day one. You'll be paired with a dedicated mentor invested in your growth, while gaining direct access to industry veterans and thought leaders who bring decades of market experience to share. As part of a close-knit team embedded within a global organization, you'll enjoy the best of both worlds: the collegiality and hands-on exposure of a small group, back by the resources and reach of a world-class firm. It's an environment built to sharpen the technical, analytical, and interpersonal skills that form the foundation of lasting career in finance or quantitative research. 

Eligibility Criteria

• This program is open to rising undergraduate juniors only. You must be graduating in 2029!
• Ability to start an internship June 7, 2027, and end August 13, 2027
• Ability to be in NYC for the duration of the internship
• Authorization to work in the United States without visa sponsorship 

We’ll trust you to:

• Develop and enhance quantitative models to support investment decisions.
• Analyze large datasets to uncover actionable insights. 
• Collaborate with portfolio managers, researchers, and developers to solve complex investment problems. 
• Present findings and recommendations to team members and stakeholders.

You'll need to have:

• Highly motivated students with strong quantitative and analytical skills who are excited to apply their expertise to finance. 
• Familiarity with Machine Learning algorithms and NLP techniques.