Senior Quantitative Developer: Low-Latency Trading Systems

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

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