Full-Stack Engineer

Lazard•New York, NY

7h•$170,000 - $200,000

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.

Requirements

5-10 years of professional software engineering experience
Bachelor’s or advanced degree in Computer Science, Data Science, or a related field
Prior experience in asset management, investment management, or a closely related part of financial services (e.g., wealth, institutional, or fund distribution)
Proven experience building and running production applications, not research or purely experimental environments
Strong backend development experience using Python
Experience working across the full stack, including modern front‑end frameworks (e.g., React or similar)
Experience building APIs and working with relational databases (SQL)
Experience deploying applications in cloud environments, preferably Microsoft Azure
Demonstrated success in delivering AI solutions with measurable business impact
Hands-on experience in machine learning algorithms and productionizing AI models
Demonstrated success delivering AI solutions with measurable business impact
Strong communication skills and the ability to influence technical and non-technical stakeholders

Nice To Haves

Familiarity with investment data and distribution analytics (e.g., flows, AUM, sales and engagement data, product and performance data)
Experience supporting sales, marketing, or client-facing platforms
Experience working alongside data science and analytics teams on data-driven applications
Experience with data platforms and pipelines (e.g., Databricks, Snowflake, Azure Data Factory)

Responsibilities

Lead the design, build, and maintenance of production-grade full stack applications supporting investments and distribution
Own architecture and technical design decisions for backend services and APIs built in Python and modern frameworks
Build and guide the development of front-end components and user interfaces for internal business users
Work across the full stack, with a strong emphasis on backend engineering and data-driven applications
Deploy and operate applications using modern engineering practices, including infrastructure as code, observability, and resilience
Embed AI and ML capabilities into business workflows, taking models from prototype to monitored production services
Collaborate with engineers, data specialists, and business stakeholders to deliver scalable solutions
Set engineering standards through code reviews, design reviews, and CI/CD and testing best practices