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.