Tbwa Chiat/Day Inc
Cubist Data Scientist New York
Tbwa Chiat/Day Inc, New York, New York, us, 10261
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.
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 REQUIREMENTS
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 Intellectual curiosity and a love of learning Attention to detail and a love of process Strong oral and written communication skills The annual base salary range for this role is $125,000-$250,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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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 REQUIREMENTS
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 Intellectual curiosity and a love of learning Attention to detail and a love of process Strong oral and written communication skills The annual base salary range for this role is $125,000-$250,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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