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Cubist Data Scientist

point72 · 30+ days ago
$89k+
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Full-time
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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.

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 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

 

Last updated on Dec 15, 2023

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