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 (CDS) group is looking for a Data Scientist to join our dedicated data 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.
As a Senior Data Scientist in the team, this individual will 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
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Onboarding novel datasets from a huge variety of sources into our platform
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Building processes, tools and frameworks to ingest, clean and deliver datasets
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Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
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Creation of in-house, value added, derived data products for consumption by investment teams
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Engaging with vendors and internal stakeholders to understand characteristics of datasets
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Partnering closely with investment teams to ensure their data requirements are met
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Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams
REQUIREMENTS
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PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
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Strong programming skills in Python and SQL
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Experience working with AWS, Linux and Airflow preferred but not required
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5+ years of experience as a Data Scientist or similar role
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Experience working with large data sets including predictive modeling
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Financial industry experience preferred but not required
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Strong organization, communication and interpersonal skills
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Intellectual curiosity and enthusiasm for learning