5-10 years of professional software engineering experience
Bachelor's or advanced degree in Computer Science, Data Science, or a related field
Experience in asset management or investment management
Strong backend development experience using Python
Experience with modern front-end frameworks like React
Proven experience building APIs and working with SQL databases
Experience deploying applications in cloud environments, preferably Microsoft Azure
Hands-on experience in machine learning algorithms and productionizing AI models
Responsibilities
Lead the design, build, and maintenance of full stack applications for investments
Own architecture and technical design decisions for backend services and APIs
Build and guide development of front-end components for internal users
Deploy and operate applications using modern engineering practices
Embed AI and ML capabilities into business workflows
Collaborate with engineers, data specialists, and business stakeholders
Set engineering standards through code and design reviews
Benefits
Comprehensive, competitive benefits package
Individualized employee experience
Support for balancing career, family, and community commitments
Investment in career development
Focus on total health and well-being of employees
Full Job Description
Job Description
We'll trust you to:
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
You'll need to have:
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 Experience
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
It's a bonus to have:
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)
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 - $200,000 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, and 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.
