Quant Developer & Researcher - AI Pipelines to Production

Lazard Asset Management; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Lazard Asset Management in London seeks a Quant Developer / Researcher to join its Quantitative Research team. The role blends development and research, with a path toward deeper research ownership as you prove your capabilities.

From day one you will scale up research code, build AI pipelines, automate workflows, and migrate R to Python. You will work with senior researchers on signals, backtests, and evaluation in a collaborative, growth-focused environment.

Qualifications

• Typically three to seven years of professional experience in quantitative development or research engineering, ideally in financial markets.
• Exceptional programming ability with Python to a high standard, modular, tested, production-quality code.
• Strong understanding of modern AI pipelines, LLM orchestration, retrieval, and evaluation of non-deterministic components.
• Experience taking research or prototype code into production and owning it thereafter.
• Proficiency in R to read and translate existing research code into Python.

Responsibilities

• Scale research code from prototype to production-grade implementations with emphasis on correctness and performance.
• Design and maintain agentic AI research pipelines, orchestration, and evaluation harnesses.
• Automate research, data, and reporting workflows end-to-end to reduce manual steps and risk.
• Migrate existing R research code to Python, preserving numerical equivalence and improving structure.
• Take research models and analytics into production with proper version control and testing standards.
• Collaborate with senior researchers on signal construction, empirical testing, and evaluation.

Skills

Python (advanced)

AI pipelines

Capital markets

Research mindset

R language

Production code

Education

Postgraduate qualification in quantitative discipline

Tools

NumPy/Pandas

R to Python migration

LLM APIs

Version control

Profiling/optimisation

Job description

Lazard Asset Management in London seeks a Quant Developer / Researcher to join its Quantitative Research team. The role blends development and research, with a path toward deeper research ownership as you prove your capabilities.

From day one you will scale up research code, build AI pipelines, automate workflows, and migrate R to Python. You will work with senior researchers on signals, backtests, and evaluation in a collaborative, growth-focused environment.