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Build and harden the engineering behind the research-to-production quant stack, focusing on quantitative abstractions and developer tooling. Collaborate with researchers and portfolio managers to enhance simulation infrastructure, data pipelines, and portfolio construction tools.
Requirements
Requires a Bachelor's degree in a quantitative field and senior-level experience building production-quality software for data-intensive systems. Expert proficiency in Python and data analytics libraries is essential, along with strong SQL skills and a high ownership mindset.
Full job description
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.
You’ll need to have:
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.
It’s a bonus to have:
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.
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 $170,000 - $220,000 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.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.
A global financial advisory and asset management firm, built over generations on a foundation of client service
Industry
Financial Services
Company size
1,001-5,000 employees
Founded
1848
Headquarters
New York, New York
LinkedIn followers
516,028
Founded in 1848, Lazard is the preeminent financial advisory and asset management firm, with operations in North and South America, Europe, the Middle East, Asia, and Australia. Lazard provides advice on mergers and acquisitions, capital markets and capital solutions, restructuring and liability management, geopolitics, and other strategic matters, as well as asset management and investment solutions to institutions, corporations, governments, partnerships, family offices, and high net worth individuals. For more information, please visit Lazard.com.
Social Media Disclosure: https://www.lazard.com/social-media-community-guidelines/
Offices: 30 Rockefeller Plaza, New York, New York 10112, US · Tödistrasse 47, Zurich, Tödistrasse 8002, CH · 161 Bay St, 45th Floor, Toronto, Ontario M5J 2S1, CA · 11-1, Nagatacho 2-chome, Sanno Park Tower 25th Floor, Tokyo, Chiyoda-ku 100-6125, JP · No.1 Macquarie Place, Level 38, Gateway, Sydney , NSW 2000, AU
How much do Engineering jobs in Massachusetts pay?
Based on 6071 listings with disclosed salaries, most engineering jobs in Massachusetts pay between $87k–$205k per year. Individual offers vary with seniority, company size, and specialization.
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