Quantitative Research Analyst - Leveraged Loans and High Yield

Lazard Ltd; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Lazard is seeking a Quantitative Research Analyst for the Leveraged Loans and High Yield team in New York City. The role blends investing, research engineering and platform development to architect data, analytics and workflows that inform idea generation, portfolio construction and risk management.

With 2–4 years of relevant experience, you’ll build production-grade tools and models, partner with portfolio managers, and help scale engineering practices.

Qualifications

• 2–4 years of professional experience in credit research, quantitative analysis, investment technology, data science or research engineering.
• Strong programming skills with Python; SQL is preferred.
• Experience designing internal tools or analytics workflows that support investment decisions.

Responsibilities

• Design and build the credit investment process with ownership from idea to implementation.
• Develop quantitative models for value, risk, factor exposures and dynamics across loans/high yield.
• Create data pipelines, research tools and dashboards for market indicators and workflows.
• Support portfolio analytics including scenario analysis, stress testing and attribution.
• Own elements of the software development lifecycle for internal research tools.

Skills

Python

SQL

Time-series

Research engineering

Communication

Tools

Git

Job description

Quantitative Research Analyst - Leveraged Loans and High Yield

New York, United States (On-site)

Job 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 Leveraged Loans & High Yield team is seeking a full-time Quantitative Research Analyst / Investor-Technologist with 2-4 years of relevant experience in credit, quantitative investing or financial technology. This is a rare opportunity for a technical co-founder-type profile to help build the next generation of the team’s credit investment process. The role sits at the intersection of investing, research engineering and platform development: architecting the data, analytics and research workflows that inform idea generation, portfolio construction, risk management and market surveillance across leveraged loans and high yield bonds. This position is ideal for a candidate who combines strong programming and product instincts with genuine interest in credit markets and a desire to shape how an investment team works day to day.

We’ll trust you to:

• Partner directly with portfolio managers and research analysts to design and build the team’s evolving credit investment process, with meaningful ownership from idea through implementation.
• Develop and maintain quantitative models that evaluate relative value, credit risk, factor exposures, dispersion and carry/roll dynamics across loans and high yield.
• Build production-grade data pipelines, research tools 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, fundamental and alternative datasets (pricing, spreads, liquidity metrics, ratings changes, macro inputs and other relevant signals).
• Support portfolio analytics including scenario analysis, stress testing, liquidity analytics, performance attribution and workflow automation.
• Own core elements of the software development lifecycle for internal research and investment tooling, including testing, documentation, code review, release hygiene and ongoing maintenance.
• Help establish scalable engineering practices for the team, including reproducible development environments, CI/CD workflows, version control standards, observability and process governance.
• Translate investment questions into clear, structured analyses, visualizations and applications that can be used repeatedly by the broader team.
• Apply statistical techniques - and, where appropriate, transparent ML methods - to identify persistent patterns in credit markets.
• Produce concise research notes and working prototypes that connect empirical findings to investment decisions.

You’ll need to have:

• 2-4 years of professional experience in credit research, quantitative analysis, investment technology, data science, research engineering or a related function.
• Strong programming skills (Python required; SQL preferred) with experience working with time-series and cross-sectional datasets in a research or production environment.
• Experience designing internal tools, analytics platforms or research workflows that materially improve an investment, trading or decision-making process.
• Working knowledge of SDLC best practices, including modular system design, testing, documentation, version control and CI/CD.
• Solid understanding of fixed income math (duration, convexity, spread measures, credit curves) and/or strong ability to ramp quickly into corporate credit fundamentals.
• Familiarity with quantitative modeling, factor frameworks, performance attribution and data validation practices.
• Ability to manage large datasets and write well-documented, reproducible code with a strong bias toward usability and maintainability.
• Strong communication skills, including the ability to explain technical concepts and quantitative results to non-technical audiences.
• Detail-oriented, proactive and comfortable working in a fast-paced investment environment with a high degree of autonomy.
• Direct exposure to leveraged loans, high yield bonds, CLOs or broader credit trading / investment workflows is a plus.

What we offer

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.

We expect the base salary range for this role to be approximately $150,000 - $200,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant’s years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held and relevant skills for the role. Base salary is one component of Lazard Asset Management’s compensation package, which also includes comprehensive benefits and may include incentive compensation.

Does this sound like you?

Representation at Lazard

Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.

Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.

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Job Info

• Job Identification 4435
• Locations 30 Rockefeller Plaza, New York, NY, 10112, US (On-site)