Quant Data Lead

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 Equity group at Lazard Asset Management is undertaking a multi-year initiative to build a new, cloud-native quantitative data, research, and production ecosystem. This role will be central to designing and delivering that greenfield platform while also supporting and maintaining legacy data environments. The position combines hands‑on engineering with architectural decision-making, team leadership, and close collaboration with quantitative researchers.

• Lead the design and evolution of an end‑to‑end quantitative data ecosystem, including ingestion, storage, modeling, access, and governance.
• Develop high‑quality pipelines and data products that support quantitative research, model development, production workflows, and analytics.
• Define and implement data‑modeling approaches suited to quantitative equity workflows.
• Establish core data‑governance practices across metadata, quality, lineage, and documentation.
• Evaluate, onboard, and integrate datasets and vendors; design scalable processes for ingesting market, fundamental, and alternative data.
• Contribute hands‑on code, review designs, set engineering standards, and help recruit and mentor data engineers as the team grows.
• Support existing production data systems during the build‑out and migration to the new ecosystem.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• 8–12+ years of experience in data engineering, data architecture, or quantitative data platforms.
• 5+ years of experience using technologies such as Snowflake, Databricks, Azure services or the like.
• Strong proficiency in data modeling.
• Hands‑on experience building and operating data pipelines.
• Familiarity with market, fundamental, benchmark, and security‑master datasets used in quantitative equity.
• Solid grounding in data governance and lineage.
• Ability to operate in a startup‑style environment, balancing architecture, hands‑on coding, and rapid iteration.

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 $200,000–$240,000 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, relevant skills for the role. Base salary is one component of Lazard’s compensation package, which also includes comprehensive benefits and may include incentive compensation.