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Quantitative developer – equities technology (basé à london)

Bank
Millennium
Quantitative developer
Posted: 24 July
Offer description

Join to apply for the Quantitative Developer – Equities Technology role at Millennium

Join to apply for the Quantitative Developer – Equities Technology role at Millennium

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


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Full-time


Job function

* Job function

Finance and Sales
* Industries

Investment Management

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