The ideal candidate has a keen interest in financial markets and technology and can react decisively and quickly in time-sensitive, high-stress situations.
You will have proven experience working collaboratively with other developers and quants, responsible for system connectivity and architecture decisions to ensure low-latency/scalable/efficient/reliable solutions.
Required Skills & Experience:
*Strong background in data structures, algorithms, and object-oriented programming in C++, including proficiency with new features of C++17 and C++20
*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
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