Quantitative Developer / Researcher

What You Will Do: Develop quantitative trading strategies using advanced statistical and machine learning technologies. Design and implement models to simulate market behavior, including price modeling and risk control frameworks. Utilize cutting-edge quantitative methods to identify market behaviors and trading opportunities, with research rooted in fundamental and micro-structural analysis of intelligent trading systems. Implement, backtest, and optimize trading models and systems. Conduct in-depth analysis of firm trading performance to refine models and enhance trading systems. Drive innovation through research in areas such as machine learning and unconventional data applications. Qualities of a Great Candidate: Bachelors degree or above in Mathematics, Natural Sciences, Engineering, or Economics. Strong foundation in statistical probability and advanced quantitative methods. Proficient programming skills in C++ , Python , or R , with familiarity in statistical and machine learning libraries/tools such as Python/Scikit, R/Caret, or MATLAB. Experience with database programming. Preferred background in signal processing, computer vision, or natural language processing. Previous experience in a data-driven research environment, with the ability to independently complete research projects. Excellent time management and the ability to thrive in a fast-paced, collaborative team environment. Strong analytical skills and meticulous attention to detail.