Senior Quantitative Engineer – Real-Time Alpha Systems

Millennium; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Millennium seeks a Senior Quantitative Engineer to advance its trading infrastructure in London. You will build and maintain research tools and production systems for alpha discovery, signal processing and trade execution, leveraging Python, C++, and modern distributed platforms.

The role emphasizes real-time data ingestion, scalable compute, and robust software design within a small, collaborative team. A strong CS or engineering background and 5+ years in the field are preferred.

Qualifications

• 5+ years of experience in distributed systems and quantitative engineering.
• Proficiency in Python and C++ and modern data tools.
• Familiarity with Docker, Kubernetes, Ceph, MongoDB and Kafka.
• Strong fundamentals in numerical computing, data structures and algorithms.
• Experience with CICD and large codebases.

Responsibilities

• Develop sophisticated research tooling to enable and accelerate alpha discovery.
• Develop real-time event-driven systems for signal computation, trade-decision-making and execution.
• Design, implement, and maintain core systems and services for real-time data ingestion, retrieval and distributed compute for research and production.
• Oversee the operation of all components to ensure resilience and detect defects as they arise.

Skills

Python

C++

Distributed systems

Numpy

Polars

Scikit-learn

PyTorch

Docker

Kubernetes

Ceph

MongoDB

Kafka

Version control

Testing frameworks

CI/CD

Build systems

Communication

Problem-solving

Analytical skills

Education

Master's or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics

Tools

Git

Job description

Millennium seeks a Senior Quantitative Engineer to advance its trading infrastructure in London. You will build and maintain research tools and production systems for alpha discovery, signal processing and trade execution, leveraging Python, C++, and modern distributed platforms.

The role emphasizes real-time data ingestion, scalable compute, and robust software design within a small, collaborative team. A strong CS or engineering background and 5+ years in the field are preferred.