Quantitative Developer - Equity Technologies

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 A degree in computer science or a related field 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 #J-18808-Ljbffr Talent Algo