Quantitative Researcher

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. Our core effort is rigorous research into a wide range of market anomalies, supported by unparalleled access to diverse publicly available data sources.

Job Description

• Independently conduct quantitative finance research focusing on statistical and predictive models.
• Manage all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring.
• Evaluate new datasets for alpha potential.
• Implement models in C++, Python, and Q.
• Monitor the daily trading process.
• Enhance and improve the trading system.

Desirable Candidates

• MSc or PhD in finance, computer science, mathematics, physics, engineering, or another quantitative discipline.
• 0-3 years of experience in a quantitative research role.
• Strong programming skills.
• Strong analytical and quantitative skills.
• Demonstrated ability to conduct independent research using large data sets.
• Detail-oriented.
• Willingness to take ownership of work, working both independently and collaboratively within a team.