Senior Quantitative Developer

Lazard • United States,

13h • $170,000 - $220,000

About The Position

The Quantitative Equity team at Lazard Asset Management is hiring a Senior Quantitative Developer to help build and harden the engineering behind our research-to-production quant stack. This role focuses on quantitative abstractions and developer tooling that accelerate research and make it easier to transition ideas into reliable, production-grade workflows. You will work closely with quantitative researchers and portfolio managers, contributing hands-on across libraries, back testing/simulation, portfolio construction components, and selected parts of the production environment.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
• Demonstrated ability to lead ambiguous technical initiatives end-to-end, balancing correctness, reliability, and iteration speed.
• Strong experience building production-quality software for quantitative research, trading, or other data-intensive systems; we expect senior-level engineering judgment.
• Expert programming skills and strong CS fundamentals (Python preferred; other languages considered). Strong experience in other languages is welcome, but you should be comfortable writing production Python quickly.
• Strong hands-on experience with data/analytics tooling (e.g., pandas, NumPy, Polars, DuckDB, scikit-learn, or equivalent).
• Strong SQL skills and experience working with analytical datasets (warehouse experience a plus).
• Strong communication and collaboration skills; effective in small, close-knit teams with direct stakeholder interaction.
• High ownership mindset: able to take ambiguous goals and deliver tested, maintainable, production-ready systems.

Nice To Haves

• Experience with modern data warehouses (e.g., Snowflake).
• Cloud experience
• Familiarity with containers and orchestration (e.g., Docker, Kubernetes) and CI/CD practices.
• Experience with portfolio construction / optimization tooling, factor models, or alternative/unstructured data (NLP/ML)—or strong interest in learning.

Responsibilities

• Define and implement the research-to-production hardening path: testing strategy, validation gates, packaging standards, release and rollback patterns, and observability requirements.
• Contribute meaningfully to the evolution of our quantitative abstractions and framework contracts (APIs, conventions, and tooling) that make research output easier to validate and productionize.
• Build and maintain research libraries and tooling that accelerate quantitative research, analytics, and reporting.
• Take ownership of key parts of the production data and factor pipelines, improving reliability, observability, and operational readiness.
• Build and enhance simulation and back-testing infrastructure to support rapid iteration and higher confidence in results.
• Contribute to portfolio construction tooling (optimizer/rebalancer, constraint management, universe logic) in partnership with researchers/PMs.
• Write secure, high-quality production code; participate in reviews; debug and improve existing systems.
• Contribute to operational excellence by reducing recurring incidents and improving reliability.

Benefits

• Comprehensive, competitive benefits.
• Highly individualized employee experience that enables you to balance your commitments to career, family, and community.
• Investment in the development of your career.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree