Senior Quant Research Engineer – Scalable ML Pipelines

Alexander Chapman Ltd; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Alexander Chapman Ltd. seeks a Senior Research Engineer to join its quantitative trading practice. The role focuses on scalable research infrastructure, high-performance data and ML pipelines, and streamlined model experimentation and deployment.

You will contribute to cutting-edge research and support trading teams with robust, scalable systems and tooling. A strong background in software/research engineering and finance is required.

Qualifications

• 8+ years of experience in software or research engineering.
• Strong Python skills and experience with PyTorch, Pandas, Polars, or similar frameworks.
• Experience building scalable data pipelines and research infrastructure.

Responsibilities

• Build scalable research infrastructure for quantitative research and trading teams.
• Develop high-performance data and ML pipelines to accelerate experiments and deployment.
• Improve model experimentation, deployment, and monitoring workflows.

Skills

Python

Data pipelines

Research infra

ML pipelines

Machine learning

Quantitative finance

High-performance computing

Tools

PyTorch

Pandas

Polars

Job description

Alexander Chapman Ltd. seeks a Senior Research Engineer to join its quantitative trading practice. The role focuses on scalable research infrastructure, high-performance data and ML pipelines, and streamlined model experimentation and deployment.

You will contribute to cutting-edge research and support trading teams with robust, scalable systems and tooling. A strong background in software/research engineering and finance is required.