Senior Quantitative Developer (C++) - Execution Technology

Millennium Management LLC; Greater London; On-site; GBP 150,000 - 210,000; Full time

Job summary

Millennium in London is seeking a Senior Quantitative Developer to design, implement, and optimize low-latency C++ execution algorithms and order management components across global trading teams. You will work with real-time data, multi-threaded systems on Linux, and high-performance networking, collaborating with traders to deliver timely, reliable market execution and research tooling.

The ideal candidate has 10+ years in software development, strong C++17/20 expertise, and a deep

Qualifications

• Bachelor's degree in Computer Science or related field required.
• 10+ years software development experience, front-office financial services preferred.
• Strong C++ expertise with low-latency, real-time systems.

Responsibilities

• Design, develop, and maintain low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Partner with central trading teams to optimize execution performance across regions.
• Reduce system latency with advanced network and systems programming techniques.
• Build systems, interfaces, and tools for historical market data analysis and trading simulations.
• Develop and maintain automated tests, performance benchmarking frameworks, and internal engineering tools.
• Collaborate with trading teams to gather requirements and deliver solutions.

Skills

C++17/20

Low latency

Multithreading

Async IO

Python

Financial markets

Algorithm design

Education

Bachelor's degree in Computer Science

Tools

Linux

Networking

LLM tools

Job description

Senior Quantitative Developer (C++) - Execution Technology

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Meet the Team

Core to the health and growth of our business, Millennium’s Information Technology team supports the firm’s active, multi-manager business model through flexible, scalable technology and advanced proprietary systems. The team develops next‑generation analytical and trading capabilities, including high-performance infrastructure that supports central trading teams and enables execution across businesses and regions.

What You’ll Do

• Design, develop, and maintain low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Partner directly with central trading teams to optimize execution performance across businesses and regions.
• Reduce system latency using advanced network and systems programming techniques and other performance-focused methodologies.
• Build systems, interfaces, and tools for historical market data analysis and trading simulations to improve research productivity and system testability.
• Develop and maintain automated tests, performance benchmarking frameworks, and internal engineering tools.
• Collaborate with trading teams in a fast-paced environment to gather requirements and deliver effective, timely solutions.

What You Bring

• Bachelor’s degree in Computer Science or a related field.
• 10+ years of professional software development experience, including at least 5 years in a front‑office financial services environment.
• Strong expertise in data structures, algorithms, and object-oriented programming in C++.
• Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.
• Strong understanding of low-latency and real‑time system design and implementation.
• Deep knowledge of Linux system internals and networking.
• Strong financial markets experience across multiple asset classes, with a focus on real-time, low-latency trading systems for equities and futures.
• Proficiency using LLM-based tools to accelerate development, improve code quality, and enhance productivity; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.