Cubist Data Scientist
Cubist Data Scientist
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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.
Job Description
We are passionate about data. We collaborate to build elegant effective scalable and highly reliable solutions to empower predictive modelling in finance.
Cubists data services group is lookingfor aData Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data tosome of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure and the live production trading of billions of dollars of capital across global capital markets including equities futures options and other financial instruments.
Job Responsibilities
- Identification of new data sets
- Engaging with vendors to understand characteristics of datasets
- Building processes and technology tools to ingest tag and clean datasets
- Analysis of datasets to generate descriptive statistics and propose potential applications of data
- Research of potential alpha signals for presentation to Portfolio Managers
- Monitoringand enhancingtheautomated data collection and cleansinginfrastructure
- Research on newtechnologies for improved data management and efficient retrieval
Desirable Candidates
- 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
- 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 TSQLSQL Server or PL-SQL
- Programming skills inPython and at least one of C# Cor 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 oraland writtencommunication skills
Employment Type
Full Time
