Job Description
Cubist Systematic Strategies is seeking a Data Scientist to join their data services group. This role is crucial for ensuring the smooth operation of a large research infrastructure and the live production trading of billions of dollars across global capital markets. The Data Scientist will be part of a small team responsible for the timely delivery of comprehensive and error-free data to Portfolio Managers.
Role Involves:
- Identifying new data sets.
- Engaging with vendors to understand datasets.
- Building processes and technology tools to ingest, tag, and clean datasets.
- Analyzing datasets to generate descriptive statistics and propose potential applications.
- Researching potential “alpha signals” for presentation to Portfolio Managers.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Desirable Candidates Should Have:
- A Ph.D. in computer science, mathematics, physics, statistics, or another discipline involving rigorous quantitative analysis techniques.
- At least 1 year of experience as a Data Scientist, quantitative researcher, or in a similar role.
- Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling.
- Experience applying statistical tests to large data sets.
- Programming skills in SQL, TSQL, SQL Server, or PL-SQL.
- Programming skills in Python and at least one of C#, C++, or Java.
- Financial industry experience preferred but not required.
- Experience dealing with intraday, tick, and order book data a plus.
- Strong problem-solving skills.
- Intellectual curiosity and a love of learning.
- Attention to detail and a love of process.
- Strong oral and written communication skills.