Senior Quantitative Developer

Lazard Careers • , MA

3d • $170,000 - $220,000

About The Position

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 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. We’ll trust you to: 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.

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

• 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 $170,000 - $220,000 USD.
• Base salary is one component of Lazard’s compensation package, which also includes comprehensive benefits and may include incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees