Quantitative Analyst recruitment
Qualifications:
Solid background in financial engineering and in-depth knowledge of various securities and derivatives pricing models, numerical methods, portfolio optimization, arbitrage relationship, and risk management
Practical experience in statistical arbitrage and market making with a professional organization is desired
Solid training and experience in statistics and data analysis such as regression, neural networks, pattern recognition, artificial intelligence, Kalman filter and support vector machine
Practical experience in processing and analyzing large scale data sets and programming experience in C++ or Java and Python
Good command of Matlab (statistics and optimization) and Excel (VBA)
Strong knowledge of SQL database such as MSSQL, MySQL and Oracle
Familiar with exchange/market rules and various securities
Working knowledge of Linux and Windows operating systems
Integrity and excellence, team-work spirit, passion for technology and quantitative investment, out-of-box thinking and readiness to succeed in a fast-paced environment