① Using the company's computing resources to mine potential correlations in massive financial data

② Propose conjectures about financial data, and design experiments to verify them from a statistical or economic perspective

③ Re-feature extraction, price prediction, portfolio optimization and other different application scenarios to develop and practice machine learning algorithms, and continue to optimize machine learning models

④ Keep up with the academic research in the field of AI foresight, and conduct pre-research and experiments

① Familiar with any branch of machine learning (such as statistical learning, deep learning, reinforcement learning, combinatorial optimization or other related cutting-edge technologies, etc.)

② Interested in the quantitative industry, and have strong engineering realization ability

③ Master or doctorate degree in computer, mathematics, statistics or related majors

④ Familiar with one or more languages such as C++/Python/Go, solid coding skills and practical ability

⑤ Familiar with at least one deep learning framework: TF, Pytorch, etc.