Senior Quantitative Developer (C++) - Execution Technology

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

Job summary

Millennium’s Information Technology team seeks a seasoned C++ engineer to design, develop and maintain low-latency execution and order-management systems for front-office trading across regions.

You will collaborate with central trading teams, reduce latency with advanced systems programming, build data analysis and testing tools, and contribute to high-performance infrastructure used by equities and futures desks worldwide. A strong Linux background and 10+ years in software are required.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 10+ years of professional software development experience, including 5+ years in front-office financial services.
• Strong expertise in data structures, algorithms, and object-oriented programming in C++.
• Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.
• Deep knowledge of Linux system internals and networking.
• Strong financial markets experience across multiple asset classes.

Responsibilities

• Design, develop, and maintain low-latency C++ execution algorithms and order management systems.
• Collaborate with central trading teams to optimize execution performance across regions.
• Reduce system latency using advanced network and systems programming techniques.
• Build tools for data analysis and trading simulations to improve research productivity.
• Develop automated tests, benchmarking frameworks, and internal engineering tools.
• Work with trading teams to gather requirements and deliver timely solutions.

Skills

C++

Low-latency systems

Multithreading

Asynchronous programming

Real-time systems

Linux internals

Financial markets

Python for data analysis

LLM-based tooling

Education

Bachelor's degree in Computer Science

Tools

C++17

C++20

Job description

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.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Core to the health and growth of our business, Millenniums 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.