Cubist Quantitative Researcher
Cubist Quantitative Researcher
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Job Description
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
The candidate will be responsible for some or all of parts of the research pipelineincluding data processing feature design model training portfolio construction and management back-testing and performance analysis. Successful researchers combine statistical analysis machine learning techniques intense passion and curiosity to decipher the market and aspire to gain great intellectual understanding and financial outperformance.
RESPONSIBILITIES
- Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing feature design and backtesting to improve on alpha ideas.
- Maintaining and improving the research pipeline including alpha generation portfolio construction back-testing and monetization.
- Maintaining and improving portfolio trading in production environments.
REQUIREMENTS
- Bachelors degree or higher in mathematics statistics computer science or other quantitative discipline.
- 2 years of experience in quantitative research. Experience in medium frequency equity research is a plus.
- Strong analytical and quantitative skills; solid knowledge in statistics linear algebra or machine learning.
- Proficiency in Python. Familiarity with scientific toolkits such as Numpy and Pandas.
- Ability to work both independently and collaboratively within a team.
- Commitment to the highest ethical standards.
Employment Type
Full Time
