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; Indepth 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 as
- Python/Scikit R/ Caret and Matlab; Experience in signal processing computer image processing or natural
- language processing is preferred.
- Database programming experience.
- Experience working in a datadriven 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.