Responsibilities 1）Designing and implementing a low latency high-frequency trading platform 2）Assisting in the development of a tick by tick backtesting research platform 3）Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources 4）Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates 5）Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity 6）Creating tools to analyze data and generate insights that research decisions are based on Qualifications 1）1-5 years of practical experience with C++ and 1-2 years of meaningful experience with Python 2）A strong background in data structures, algorithms, and object-oriented programming 3）Demonstrated academic excellence 4）Strong working knowledge of Linux, and some SQL knowledge 5）Brilliant detail oriented problem-solving abilities 6）Passion for innovation and building systems from the ground up 7）A self-starter attitude with the ability to work independently and own problems 8）The ability to manage multiple tasks and make decisions in a fast-paced environment 9）Strong communication skills in English for business purposes