① Bachelor degree or above from a key university, majoring in mathematics, computer, electronic engineering, applied mathematics, theoretical physics, probability and statistics and other disciplines highly related to quantitative analysis. 3-5 years of work experience in executing transactions in the financial industry

② Excellent mathematical and logical thinking skills, with basic knowledge of finance, including liquidity and volatility of capital markets, trading/hedging strategies, etc.

③ Strong data analysis ability, proficient in using excel/SQL and other common data processing software

④ Familiar with one or more programming languages such as SQL, Java, Python, C#, and Web

① PhD or above in mathematics, physics, statistics, computer and other related majors

② Have a solid research foundation, excellent academic achievements or papers are preferred

③ Have certain programming ability, be familiar with programming language in Linux environment, and be proficient in at least one of Python, Matlab, C++

④ Conscientious, meticulous and patient, with rigorous research habits

⑤ Winners of deep learning/machine learning, or IM/CMO competitions are bonus points.

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.

① More than three years of experience in quantitative trading of CTA futures at home and abroad; strong interest in quantitative trading

② Graduated from famous universities at home and abroad, with a solid foundation in mathematical statistics and computer algorithms, excellent research and innovation capabilities, and in-depth research in at least one of the following fields: time series modeling, machine learning, image recognition, natural language processing

③ Have excellent programming ability, be proficient in C/C++, be proficient in one of R, Python, Matlab, and be familiar with common relational databases

④ Familiar with machine learning related algorithms, and have relevant research or project experience

⑤ Active work, with good communication and teamwork skills.

① Graduate degree from key universities at home and abroad. Computer, mathematics, physics and other science and engineering majors and compound education background experience is preferred

② More than 1 year working experience in stock quantitative strategy development or sell-side metalworking

③ Good at data processing, familiar with sql; have good programming ability, at least proficient in one language in python and matlab

④ Strong learning ability, able to complete research work independently, and have good communication skills and teamwork spirit

① Bachelor degree or above from well-known universities at home and abroad, majoring in science and engineering such as mathematics, statistics, physics, and computer

② More than three years of stock quantitative research experience in the A-share market, and a verifiable firm strategy is preferred

③ Solid mathematical statistics ability, rigorous research habits

④ Good programming ability, proficient in Python/C++, familiar with Linux system

⑤ Super self-driving force, good sense of teamwork, communication and coordination ability, active and responsible, conscientious and down-to-earth

① Master or doctorate degree in computer, mathematics, statistics or related majors, more than 3 years of relevant work experience

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 Experience in the development of major manufacturers such as machine learning, data mining, natural language processing, image recognition, and search engines is preferred

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

① Must have great interest and curiosity in securities research, be proficient in EXCEL (function, data analysis application), and be sensitive to data

② Master’s degree or above, with a combined background in science and finance is preferred; those with a bachelor’s degree but excellent conditions can also be considered

③ 3 years or more of relevant industry research experience is preferred

④ Have solid economic knowledge and financial theory, be familiar with commonly used valuation models, have CFA, CPA qualification certificate or pass the securities qualification examination is preferred

⑤ Have strong logical thinking ability, language expression ability and judgment ability, data processing and writing ability; can adapt to high-intensity work

① Bachelor degree or above, science and engineering majors are preferred

② Honest, responsive, conscientious and meticulous, strong execution

③ Experience in process design and optimization, project management or implementation experience

① Research the quantitative trading model of China's stock and futures market

② Cooperate with fund managers to optimize and monitor quantitative trading strategies in China's stock and futures markets

③ Analyze the statistical characteristics of market and transaction data.

① Have experience in research and development of futures (commodities, stock indexes, government bonds, etc.) strategies, including but not limited to high-frequency/intraday/arbitrage direction

② Familiar with options and various structured derivatives

③ Have 1-3 years of relevant work experience, graduated with a master/doctoral degree in financial engineering, mathematics and physics, and computer science from top famous schools at home and abroad

④ Strong programming ability, master at least one data analysis language including but not limited to Python, R, MATLAB, etc., familiar with sql, Oracle and other database languages

⑤ Love quantitative research, have the spirit of exploration, pay attention to details, be diligent and pragmatic, have a strong sense of responsibility and teamwork spirit

① 985/211 Bachelor degree or above in law or finance, with a background in studying abroad is preferred

② More than 3 years of experience in fund operation and management of securities, funds or well-known private equity companies, familiar with the operation process of securities funds and equity funds, those with qualification certificates such as risk managers, certified public accountants, auditors, or legal work experience in financial institutions are preferred

③ Familiar with the regulations, policies and regulatory requirements involved in the field of fund investment

④ Strict logic, rigorous and pragmatic, and strong awareness of risk management

⑤ Possess a qualification certificate for securities and funds.

① Bachelor degree or above from a prestigious university, majors in finance, computer, mathematics, statistics and other related majors are preferred, and master’s and doctoral degrees are preferred

② Rich experience in multi-factor stock selection, quantitative hedging and timing, rich experience in multi-strategy writing and actual combat

③ Experience in the management of stock strategy firm products is preferred, and must have independently managed at least one firm account, and the product firm offer drawdown is small

④ More than 3 years of stock quantitative investment experience, including but not limited to fundamental alpha, volume-price alpha, intraday stock rotation and other strategic directions, familiar with risk control models, and experience in firm strategy management is preferred

⑤ Strong programming ability, proficient in C++ or C# programming, master at least one data analysis language including but not limited to Python/R/MATLAB/SAS, etc.

⑥ Love quantitative research, have the spirit of exploration, pay attention to details, and be able to think deeply

⑦ Have excellent team leadership, cooperative spirit, pressure resistance and communication skills, and experience as team leader in well-known investment institutions at home and abroad is preferred

① Able to use Python for data processing, proficient in Pandas, Numpy, etc.

② Experience in using machine learning toolkits, proficient in feature engineering of data

③ Able to implement strategy and model programming independently according to the paper