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. 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. Does this sound like you? Apply! We’ll get in touch on 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. #LI-HC1

Requirements

Must-haves

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
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
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)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaimlci/cdreactsqlazuremachine learning

Platform: oracle-cloud
Effort: medium