Quantitative Finance Researcher

The role

Quantitative Researchers independently conduct quantitative financial research focusing on statistical and predictive models. They manage the research process including methodology selection, data collection, analysis, testing, prototyping, backtesting, and performance monitoring.

What you will do

• Conduct quantitative financial research with a focus on statistical and predictive models
• Manage methodology selection
• Manage data collection and analysis
• Manage testing, prototyping, and backtesting
• Manage performance monitoring

Required qualifications

• M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in 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
• 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

Nice to have

• Prior experience developing, researching, or implementing quantitative models for equities

Benefits

• Training for new researchers without finance backgrounds

About the company

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange.