About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role/Responsibilities:

• Independently conduct quantitative finance research with a focus on statistical and predictive models
• Design, backtest, and implement algorithms for optimal portfolio construction
• Evaluate new datasets for alpha potential
• Contribute to the continuous improvement of the investment process and the team’s research and trading infrastructure

Requirements:

• MS or PhD student in finance, applied economics, operations research, statistics, mathematics, electrical engineering, or computer science.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Proficient in Python.
• Strong analytical and quantitative skills.
• Detail-oriented.
• Willing to take ownership of his/her work, working both independently and within a small team.