Quant Data Lead

Lazard, Inc.

$200K — $240K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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 with technologies such as Snowflake, Databricks, or Azure services.
  • Strong proficiency in data modeling relevant to quantitative equity workflows.
  • Hands-on experience building and operating data pipelines.
  • Familiarity with various datasets utilized in quantitative equity analysis.
  • Solid grounding in data governance and lineage practices.

Responsibilities

  • Lead the design and evolution of a comprehensive quantitative data ecosystem.
  • Develop high-quality data pipelines and products for quantitative research.
  • Define and implement data-modeling strategies for equity workflows.
  • Establish core practices for data governance including metadata and quality assurance.
  • Evaluate and integrate new datasets and vendors into the data ecosystem.
  • Contribute code, review designs, and help recruit and mentor data engineers.
  • Support existing production data systems during migration to the new ecosystem.

Benefits

  • Comprehensive and competitive benefits package.
  • Individualized employee experience supporting career and personal commitments.
  • Investment in career development and unique talents.
  • Focus on employee health and well-being.
Full Job Description
Job Description

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.

We'll trust you to:
  • 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.


You'll need to have:
  • 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.


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 $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.

Does this sound like you?

Apply! We'll get in touch and let you know the next steps.

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