Description
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.
Many of the world’s leading investors — from individuals to institutions across the globe — have entrusted Lazard Asset Management. We pride ourselves in uncovering the best investment opportunities for our clients. The purpose of our asset management business is to help our clients invest for the future — whether it’s for retirement, to grow and preserve inter-generational wealth, or to benefit the organizations that make our world smarter, healthier and more sustainable.
The Quantitative Research Team at Lazard Asset Management applies 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 our clients.
Please note this program is for candidates with an expected graduation date no earlier than December 2026 and no later than May 2028.
What We Offer
- Real-World Experience: Work on actual investment problems with measurable impact.
- Mentorship: Collaborate closely with a mentor dedicated to your development.
- Access to Experts: Engage with industry veterans and thought leaders who bring decades of experience.
- Collaborative Environment: Experience the collegiality of a small team within a global organization.
- Professional Growth: Develop technical, analytical, and interpersonal skills that are foundational for a career in finance or quantitative research.
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.”
- Undergraduate, Master’s, or PhD students majoring in mathematics, statistics, physics, electrical engineering, computer science, economics, or related fields.
- Excellent logical reasoning and problem-solving capabilities.
- Experience with programming, especially in Python, for data processing and analysis.
- Strong foundation in statistics and data analysis.
- Ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills, including the ability to present complex concepts clearly.
- Intellectual curiosity and eagerness to learn.
- Passion for quantitative research and financial markets.
