Quantitative Finance Researcher

Point72

On-sitemidPosted June 5, 2026

About the Role

Independently conduct quantitative financial research focusing on statistical and predictive models, managing all aspects of the research process from methodology selection to performance monitoring.

Requirements

Requires an M.S., Ph.D., or Ph.D. candidate in a quantitative discipline, programming skills in C++/C#/Java/Python, strong analytical and quantitative skills, and demonstrated ability to conduct independent research with large datasets.

Full Job Description

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models.

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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

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.
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.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.