Data Scientist, Global Quantitative Research

OverviewJob PurposeThe Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.ResponsibilitiesPerform data exploration and statistical analysis for quantitative research purposesData preparation, validation, and visualization of various data sets such as time series of financial derivativesBuild production quality, data driven software solutions to support data management and analysisDevelop ETL applications to support core quant and risk team data requirementsDiagnose and profile data issues and recommend ways to improve data reliability, efficiency, and qualityCoordinate with quantitative research and business experts to develop and refine data management best practices, policies, and proceduresProvide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgroundsManage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.Serve as a liaison between technology, operations, product management and the Financial Engineering teamsEngage in innovative research tasks in the quantitative finance and data science fieldKnowledge and ExperienceMaster's degree in Data Science, Engineering, Mathematics, Statistics or similar fieldStatistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valuedWorking knowledge of SQL and experience working with relational databases preferredAbility to work in a high-performance, high-velocity environmentStrong analytical and organizational skills with acute attention to detailStrong communication skillsCustomer focused and results orientedAdvanced Statistics knowledge related to Time Series preferredExperience with code versioning tools such as Git preferredExperience in Quantitative Finance and/or Financial Derivatives Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.