① Using the methods of machine learning, deep learning and artificial intelligence to conduct research, analysis and statistics on a large amount of historical data on the company's research platform, and find relevant trends and laws from it

② Research and excavate various market-neutral Alpha models/factors including the A-share market, and conduct a series of tests on this basis

③ On the basis of excavating enough models/factors, study the factor combination method. Excellent people can participate in factor portfolio management

④ Keep up with the forefront of the field, independently or in cooperation with other investors to promote the improvement of the algorithm

⑤ Other work related to quantitative trading

① Master’s degree or above in artificial intelligence, mathematics, statistics, computer, signal processing, financial engineering and other related majors from key universities at home and abroad; those with outstanding undergraduate degrees from top universities are also eligible

② Have basic financial investment knowledge and market insight, familiar with traditional machine learning and deep learning algorithm principles and application scenarios

③ Have solid mathematical modeling ability and programming ability, and be proficient in building machine learning models through Python, R and other languages

④ Clear thinking, strong logic, good at discovering and putting forward unique viewpoints, and good communication skills and cooperative attitude