Senior Quantitative Developer

United States Digital Space LLC; Greater London; On-site; GBP 120,000 - 200,000; Full time

Job summary

Millennium is seeking a Senior Quantitative Developer to design, implement, and optimize low-latency trading systems in a fast-paced financial engineering environment. The role focuses on C++17/20, real-time execution, and collaboration with central trading teams to improve performance across regions.

A strong foundation in data structures, algorithms, and Linux internals is essential. Experience in front-office finance and proficiency with Python for research will be valued as the team

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 10+ years of professional software development experience, with 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 focus on real-time, low-latency trading systems for equities and futures.
• Proficiency using LLM-based tools to accelerate development; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.

Responsibilities

• 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.

Skills

C++

C++17/20

Multithreading

Asynchronous programming

Linux internals

Low-latency systems

Data structures & algorithms

Python for quantitative research

Quantitative research

Front-office finance

Education

Bachelor’s degree in Computer Science

Tools

LLM-based tools

Job description

Senior Quantitative Developer

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, 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.