My client is seeking a talented Quantitative Researcher to join our team.

As a Quantitative Researcher, you will be responsible for developing cutting-edge quantitative trading strategy systems utilizing advanced statistical and machine learning technologies.

Your role will involve implementing models that simulate market behavior, developing price and risk control models, and identifying trading opportunities using sophisticated quantitative methods.

You will also be involved in backtesting trading models, driving innovative research in machine learning and unconventional data, and have the chance to work in the vibrant Greater Bay Area.

Qualifications: Bachelor's degree or higher in Mathematics, Natural Science, Engineering, or Economics.

Proficient in statistical probability with excellent knowledge and training.

Strong programming skills in C++, Python, or R, with familiarity in 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 advantageous.

Proficiency in database programming.

Experience in a data-driven research environment with the ability to independently complete research projects, manage time effectively, and thrive in a fast-paced team environment.

Solid analytical skills and keen attention to detail.