Quantitative Research Analyst - Leveraged Loans and High Yield

Lazard Careers • , NY

15h • $150,000 - $200,000

About The Position

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 Leveraged Loans & High Yield team is seeking a full‑time Quantitative Research Analyst with 2–4 years of relevant fixed‑income experience. The role focuses on building and maintaining systematic tools that enhance portfolio construction, credit surveillance and market‑technical analysis across leveraged loans and high yield bonds. This position is ideal for a candidate who combines strong analytical and programming skills with practical familiarity in fixed‑income markets.

Requirements

• 2–4 years of professional experience in fixed‑income research, quantitative analysis, credit strategy, data science or a related function.
• Strong programming skills (Python required; SQL preferred); experience working with time‑series and cross‑sectional datasets.
• Solid understanding of fixed‑income math (duration, convexity, spread measures, credit curves) and corporate credit fundamentals.
• Familiarity with quantitative modeling, factor frameworks and performance attribution.
• Ability to manage large datasets and write well‑documented, reproducible research code.
• Strong communication skills, including the ability to explain quantitative results to non‑technical audiences.
• Detail‑oriented, proactive and comfortable working in a fast‑paced investment environment.

Nice To Haves

• Direct exposure to leveraged loans, high yield bonds, CLOs or broader credit trading/investment workflows is a plus.

Responsibilities

• Develop and maintain quantitative models that evaluate relative value, credit risk, factor exposures, dispersion and carry/roll dynamics across loans and high yield.
• Build data pipelines and dashboards for loan new‑issue supply, CLO formation, fund flows, macro indicators and other market technicals.
• Create issuer‑level and sector‑level monitoring tools using public market and fundamental data (pricing, spreads, liquidity metrics, ratings changes, macro inputs).
• Support portfolio analytics including scenario analysis, stress testing, liquidity analytics and performance attribution.
• Integrate diverse datasets into reproducible research frameworks; ensure data validation, documentation and process governance.
• Translate investment questions from portfolio managers and analysts into clear, structured analyses and visualizations.
• Apply statistical techniques—and, where appropriate, transparent ML methods—to identify persistent patterns in credit markets.
• Produce concise research notes summarizing empirical findings, model outputs and market observations.

Benefits

• We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits.
• Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community.
• When you work for Lazard, you are working for an organization that cares about your unique talents and passions and will continue to invest in the development of your career.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees