Point72's Cubist Systematic Strategies is seeking an experienced Quantitative Researcher to perform rigorous research into systematic anomalies across global macro markets. The role involves advanced data analysis, feature engineering, and developing computer-driven trading strategies with cutting-edge technologies.
The primary responsibilities include performing innovative research to discover systematic trading anomalies, conducting feature engineering with price-volume and alternative data, managing the entire research pipeline from signal generation to strategy implementation, and maintaining production trading environments.
Candidates must possess strong technical skills including a background in mathematics, statistics, machine learning, or quantitative finance, with 2+ years of signal research experience. Proficiency in Python, R, or C/C++, advanced statistical techniques, and data science toolkits are essential. Candidates should demonstrate exceptional independent research abilities and a collaborative mindset.
Point72 offers an opportunity to work at the forefront of systematic trading, with access to advanced research frameworks, cutting-edge technologies, and a dynamic environment that values innovative thinking. The role provides a platform for researchers to develop sophisticated trading strategies and contribute to the evolution of quantitative investment approaches.
