Senior Quantitative Developer

Posted Yesterday
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Boston, MA, USA
In-Office
170K-220K Annually
Senior level
Financial Services
The Role
Build and harden the research-to-production quant stack: define testing/validation/packaging standards, develop quantitative abstractions, research libraries, back-testing and simulation infrastructure, production data and factor pipelines, and portfolio construction tooling while improving reliability and observability.
Summary Generated by Built In

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.


Skills Required

  • 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; senior-level engineering judgment
  • Expert programming skills and strong CS fundamentals (Python preferred); 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
  • Strong communication and collaboration skills; effective in small, close-knit teams with direct stakeholder interaction
  • High ownership mindset: deliver tested, maintainable, production-ready systems from ambiguous goals
  • Experience with modern data warehouses (e.g., Snowflake)
  • Cloud experience
  • Familiarity with containers and orchestration (Docker, Kubernetes) and CI/CD practices
  • Experience with portfolio construction/optimization tooling, factor models, or alternative/unstructured data (NLP/ML)

Lazard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lazard and has not been reviewed or approved by Lazard.

  • Fair & Transparent Compensation Pay is considered competitive for the industry, with total compensation bolstered by meaningful bonuses in revenue‑generating roles. Feedback suggests many view base pay as fair for the role.
  • Healthcare Strength Medical coverage includes low‑deductible plan options, HSA funding, and coverage for IVF and Lasik. Dental and vision include orthodontia with allowances for eyeglasses or contacts.
  • Parental & Family Support Fully paid parental leave, substantial adoption/surrogacy reimbursement, and fertility and family‑building benefits are offered. Backup care, lactation support, and related programs extend support for parents and caregivers.

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The Company
HQ: New York, NY
4,506 Employees
Year Founded: 1848

What We Do

Lazard, one of the world's preeminent financial advisory and asset management firms, operates from more than 40 cities across 25 countries in North America, Europe, Asia, Australia, Central and South America. With origins dating to 1848, the firm provides advice on mergers and acquisitions, strategic matters, restructuring and capital structure, capital raising and corporate finance, as well as asset management services to corporations, partnerships, institutions, governments and individuals. For more information on Lazard, please visit www.lazard.com. Follow us at @Lazard. Social Media Disclosure: https://www.lazard.com/social-media-disclosure/

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