① Scientific statistics and analysis of data, to discover the objective laws of the operation of financial markets, to form investment strategies and to verify transactions

② Strategy, specifically involving the tacticalization of trading ideas, data processing, strategy historical backtesting, strategy report writing, etc.

③ Track, analyze, evaluate and improve the performance of quantitative investment strategies, and provide reasonable suggestions for the company's investment optimization.

① Proficient in at least one working language in python/C#/Matlab, technical experience in machine learning is preferred

② Master degree or above from top universities at home and abroad, solid foundation in mathematics/computer and other related disciplines, excellent professional results

③ PhD or related majors with gold medals at all levels are preferred

④ Good at solving open-ended problems and have systematic quantitative research experience

⑤ Not limited to the financial industry, scientific research and non-financial related work backgrounds can be considered

⑥ Those who have more than 2 years of system research experience in a certain field such as deep learning, NLP research and application in financial scenarios, multi-factor stock selection of Hong Kong stocks or US stocks, trading execution algorithms, high-frequency trading, and volatility forecasting can apply for senior Position.