Cubist Systematic Strategies is looking to solve the problem of timely delivery of comprehensive and error-free data to systematic Portfolio Managers in the world.
Requirements
- Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling
- Programming skills in SQL, TSQL, SQL Server or PL-SQL
- Programming skills in Python and at least one of C, C++, or Java
- Experience applying statistical tests to large data sets
- Experience dealing with intraday, tick and order book data a plus
Responsibilities
- Identification of new data sets
- Building processes and technology tools to ingest, tag and clean datasets
- Analysis of datasets to generate descriptive statistics and propose potential applications of data
- Monitoring and enhancing the automated data collection and cleansing infrastructure
- Research on new technologies for improved data management and efficient retrieval
Other
- Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques
- At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role
- Strong problem solving skills
- Intellectual curiosity and a love of learning
- Attention to detail and a love of process
