Hedge Fund - Senior C++ Quant Developer - Equities - Linux - Python - Data/Algos/Low latency
Hedge Fund background essential
C++ (Version 11 upwards), Linux, Python (nice to have). Trading systems experience - ideally experience working in the equities space. Ideally the technical has experience with algo implementation.
Quantitative Developer - Equities Technology
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++
Permanent role - Central London based - 5 days a week in the office
We are an equal opportunities employer and welcome applications from all qualified candidates.
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