Our client is one of the world’s premier investment firms. The firm deploys systematic, 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 market anomalies, 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 firm’s
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
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