① Build AI best practice methods, tools, processes and evaluation systems for quantitative investment scenarios

② Design and develop machine learning/deep learning algorithm models for quantitative investment scenarios

③ Develop AI algorithm-based factor mining, strategy construction, portfolio optimization and algorithmic trading

④ Keep up with the forefront of the field and promote the basic research of AI quantification

① Full-time master's degree or above, doctoral degree is preferred, majors in computer, physics, mathematics, etc.; more than 1 year of relevant work experience (excellent ability is not limited)

② Solid computer foundation, good data structure and algorithm skills, and strong sense of code quality

③ Proficient in at least one programming language such as Python, C++, Java, etc.

④ Familiar with the use of machine learning frameworks such as TensorFlow/pytorch/sklearn

⑤ Excellent learning ability, active thinking, good at discovering and solving problems from data

⑥ Development experience in machine learning, data mining, natural language processing, image recognition, search engine, etc. is preferred

⑦ Strong interest in data science, artificial intelligence, financial technology