Quantitative Data Analyst

About the Role

Lazard is a leading global advisory and asset management firm with a collaborative culture, a relatively flat organizational structure, and a strong emphasis on learning, growth, and individual perspective. In the Advantage Quantitative Equity team, this role is focused on ensuring the quality, dependability, and practical usefulness of the quantitative data that supports research and live investment processes. Because these datasets feed factor models, risk models, alpha generation, backtesting, and portfolio construction, the work has direct impact on investment outcomes.

Key Responsibilities

• Take full ownership of important quantitative datasets such as market data, fundamentals, corporate actions, and identifiers/reference data, while developing deep knowledge of their structure, source lineage, quirks, and how they should be used in research and production.
• Bring in new datasets from start to finish by profiling them, checking schema and coverage, mapping identifiers, reconciling across sources, documenting the results, and helping make them production-ready.
• Create and operate automated checks and monitoring systems for data quality, including completeness, freshness, duplicates, outliers, stale or missing series, and broken mappings, with the results tracked through code-based metrics and dashboards rather than spreadsheets.
• Dig into data problems that affect research or production, identify the root cause, measure the impact, coordinate the fix, and implement code-based safeguards to reduce the chance of the issue happening again.
• Develop Python scripts, pipelines, and helper tools using pandas, NumPy, and related libraries to automate validation, onboarding, reconciliation, and monitoring, and work with quant developers to make those solutions robust and operational.
• Keep dataset documentation and operating runbooks current, including definitions, assumptions, known data issues, and troubleshooting steps, while improving consistency across the data environment.
• Support ongoing dataset maintenance through regular checks, backfills, and updates as vendor definitions, schemas, and business needs change.
• Work with internal partners and external vendors to resolve data issues and assess new data sources constructively.

Required Skills and Qualifications

• A bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Computer Science, or equivalent hands-on experience.
• Practical experience with quantitative financial datasets such as prices/returns, fundamentals, corporate actions, security master/reference data, factor data, or risk model inputs from vendors like Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE.
• Strong understanding of data quality issues common in systematic investing, including stale data, point-in-time accuracy, survivorship bias, partial trading days, identifier changes, and corporate action adjustments.
• Experience working with vendor data and reconciling differences across sources while managing schema and definition changes over time.
• Advanced SQL skills for querying, validating, reconciling, and investigating issues across large analytical datasets.
• Strong Python development skills, including writing maintainable scripts, pipelines, and reusable utilities, with familiarity in pandas, NumPy, file handling, and scheduling.
• Excellent analytical and debugging ability, with a structured approach to diagnosing inconsistencies and driving issues through resolution.
• Strong communication and collaboration skills for working effectively in small teams with direct stakeholder interaction.

Nice to Have

• Experience in a quantitative asset management, systematic hedge fund, or similar investment data setting.
• Background supporting production data pipelines and incident management, including monitoring, alerts, runbooks, and operational readiness.
• Exposure to modern data warehouses such as Snowflake and/or analytical tools such as DuckDB or Polars.
• Cloud experience, preferably in Azure.

Compensation and Benefits

The expected base pay for this position is approximately USD 90,000 to USD 150,000 annually. The actual offer may vary based on relevant experience, length of career, qualifications, education, certifications, licenses, and applicable skills. Base pay is only one part of the total package, which also includes comprehensive benefits and may include incentive compensation. Lazard also emphasizes employee well-being and offers a benefits approach designed to support career, family, and community commitments.

Representation at Lazard

Lazard states that it is committed to building a workforce with a wide range of backgrounds, experiences, and perspectives. The company values individual differences, supports professional growth, and aims to provide an environment where employees can contribute to long-term success while maximizing their potential.