Quant Developer

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.

Many of the world’s leading investors — from individuals to institutions across the globe — have entrusted Lazard Asset Management. We pride ourselves in uncovering the best investment opportunities for our clients. The purpose of our asset management business is to help our clients invest for the future — whether it’s for retirement, to grow and preserve inter-generational wealth, or to benefit the organizations that make our world smarter, healthier and more sustainable.

Role Profile:

Lazard Asset Management is seeking a Quant Developer / Researcher to join its Quantitative Research team in London. The role is designed for an exceptional programmer who wants to move into quantitative research. From the outset the position is split roughly evenly between quantitative development and research, and the balance is expected to shift progressively towards research as the successful candidate builds domain depth and a track record of research contribution.

On the engineering side, the immediate priorities are to scale up research code, build agentic AI research pipelines, automate workflows end-to-end, migrate existing R research code to Python, and take research implementations into production. On the research side, the successful candidate will work alongside senior researchers on signal construction, empirical testing, and evaluation, taking on progressively more independent research ownership.

We are looking for a candidate whose programming ability is genuinely exceptional, who has a very good working understanding of modern AI pipelines, and who already brings a solid grasp of capital markets together with some exposure to quantitative research concepts. Just as important is the ambition to become a researcher: this is a development role with a deliberate and supported path into research, not a permanent engineering seat.

Key Responsibilities

Development and AI Pipelines (Initial Focus)

We'll trust you to:

• Scale research code from prototype to robust, production-grade implementations, with close attention to correctness, speed, memory footprint, and reproducibility.