Quantitative Researcher

AI overview

Conduct independent quantitative finance research and improve trading models while utilizing statistical techniques and large datasets in a dynamic team environment.

Quantitative researcher for the Central team in London.

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.

JOB DESCRIPTION

Independently conduct quantitative finance research with a focus 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/Q
Monitor the daily trading process
Enhance and improve the trading system

DESIRABLE CANDIDATES

MSc / PhD in finance, computer science, mathematics, physics, engineering, or other quantitative discipline.
0-3 years of experience in a quantitative research role.
Strong programing skills.
Strong analytical and quantitative skills.
Demonstrated ability to conduct independent research utilizing large data sets.
Detail-oriented.
Willing to take ownership of his/her work, working both independently and within a collaborative team.