Quanta Search
Our client is one of the worlds premier investment firms. The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes, including equities,futures and foreign exchange. The core of their effort is rigorous research into a wide range of marketanomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role: Software developer who will be actively engaged in developing, maintaining, and enhancing the firms internal Algorithmic Execution Platform, and integrating this platform into research infrastructure. Candidate should be comfortable writing low-level, multi-threaded C++ code and Python code.
Role/Responsibilities: Work with the existing High Frequency Algo development team to develop, extend, and optimize the existing trading platform Work with the Central Research Technology team to leverage the platform in research workflows, both in the cloud and on premise Support the needs of the Central High Frequency trading team for both research and live trading Collaborate with additional PM teams on an as-needed basis to provide technical solutions Provide L3 support for our production systems
Requirements: 2+ years of professional software engineering experience Undergraduate degree or higher in computer science, computer engineering, or other related discipline Familiar with version control and software delivery lifecycle Proficient in C++ Comfortable working in a multi-threaded environment Experience in Python is a plus Experience in finance is a plus #J-18808-Ljbffr
Role: Software developer who will be actively engaged in developing, maintaining, and enhancing the firms internal Algorithmic Execution Platform, and integrating this platform into research infrastructure. Candidate should be comfortable writing low-level, multi-threaded C++ code and Python code.
Role/Responsibilities: Work with the existing High Frequency Algo development team to develop, extend, and optimize the existing trading platform Work with the Central Research Technology team to leverage the platform in research workflows, both in the cloud and on premise Support the needs of the Central High Frequency trading team for both research and live trading Collaborate with additional PM teams on an as-needed basis to provide technical solutions Provide L3 support for our production systems
Requirements: 2+ years of professional software engineering experience Undergraduate degree or higher in computer science, computer engineering, or other related discipline Familiar with version control and software delivery lifecycle Proficient in C++ Comfortable working in a multi-threaded environment Experience in Python is a plus Experience in finance is a plus #J-18808-Ljbffr