Quantitative Developer – Equities Technology

Company

Millennium

Location

London, England, United Kingdom

Posted At

8/5/2025

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Description

We are in search of a Quantitative Developer to join our team who is passionate about designing, architecting, and implementing low latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. Our team works directly with the firm’s central trading teams. By constructing and maintaining this high-performance infrastructure used by these teams, this developer will enable new trading opportunities across businesses and regions, allowing the best possible execution performance.

Job Duties

Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
Work directly with central trading teams to optimize the firm’s overall execution performance.
Enhance the platform's efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
Assist in building and maintaining our automated tests, performance benchmark framework, and other tools
Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment

Qualifications

5+ years of professional experience in a front-office, financial services environment as a senior contributor
10+ years cumulative, professional experience
Strong background in data structures, algorithms, and object-oriented programming in C++, including:
Proficiency with new features of C++17 and C++20
Proficiency with multithreading and asynchronous environments
Strong understanding of low-latency and real-time system design and implementation
Strong understanding of Linux system internals and networking
Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures
Familiarity with python for quantitative research and data-oriented processing
Familiarity with analysis of execution algorithm performance