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 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 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.