What you will do :
- Responsible for the development of quantitative trading strategy systems using the most advanced statistical and machine learning technologies.
- Implement models and structures that simulate market behavior; Develop price model and risk control model.
- Use advanced quantitative methods to identify market behavior and trading opportunities; The research is based on the fundamental and micro structure of the intelligent trading system.
- Implement and backtest trading models and trading systems; In-depth analysis of firm trading and improvement of models and trading systems.
- Drive innovative research, particularly in the areas of machine learning and unconventional data.
- Opportunity to work in the Greater Bay Area.
Qualities to make great candidates :
Bachelor degree or above in Mathematics, Natural Science, Engineering or Economics.Excellent knowledge and training in statistical probability.Excellent programming skills in C++, Python or R, familiar with statistics and machine learning software such asPython / Scikit, R / Caret and Matlab; Experience in signal processing, computer image processing or naturallanguage processing is preferred.Database programming experience.Experience working in a data-driven research environment; Ability to complete research projects independently; Have the ability to manage the use of time; Enjoy fast - paced team work environment.Strong analytical skills and attention to detail.