Data Scientist

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Data Scientist
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Point72
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Data Scientist
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Point72
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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.
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.
Cubist’s data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some 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
Monitoring and enhancing the automated data collection and cleansing infrastructure
Research on new technologies 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, 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
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
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