Quantitative Finance Researcher at Point72

Cubist Systematic Strategies, an affiliate of Point72, is seeking a Quantitative Finance Researcher to independently conduct quantitative financial research with a focus on statistical and predictive models. This role involves managing all aspects of the research process, including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Cubist Systematic Strategies deploys systematic, computer-driven trading strategies across multiple liquid asset classes. The core of their effort is rigorous research into a wide range of market anomalies, fueled by their unparalleled access to a wide range of publicly available data sources.

Role involves:

• Independently conducting quantitative financial research.
• Focusing on statistical and predictive models.
• Managing all aspects of the research process.
• Methodology selection, data collection and analysis.
• Testing, prototyping, backtesting, and performance monitoring.

The candidate should possess:

• M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
• Programming in any of the following: C++, C#, Java, or Python.
• Strong analytical and quantitative skills.
• Keen interest in quantitative research and metrics driven decision making.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Detail-oriented and passion for spotting trends in data.
• Willingness to take ownership of his/her work, working both independently and within a small team.
• Ability to work under pressure.

The role offers:

• Opportunity to conduct independent research.
• Work within a small team.
• Training for new researchers without finance backgrounds.