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On behalf of a global financial services organization, design, develop, and test technical systems infrastructure by analyzing trade data and developing trade messaging connectivity between systems to consume and publish required datasets to downstream systems and reporting engines. Develop, modify, and enhance data store using Apache Hadoop for trade data and business events. Create data lineage across all business events in trade lifecycle. Engineer data models to publish and receive data in universal messaging language format. Design and build data fabric for existing trade, pre trade, and post trade activities. Extract and publish information from raw financial data using programming languages including Visual Basic and Structured Query Languages. Define data dictionaries and logic for data extraction from upstream sources and systems. Create R libraries and packages for statistical analysis of trade data. Leverage Systems engineering background to analyze and implement SEC U.S. Client protection (15c303) regulation to assist in protecting client accounts at securities brokerage firms.
Requirements: Minimum of Master s degree or foreign equivalent in Information Systems, Computer Science, or related field, and three (3) years of experience as a Systems Analyst, Programmer Analyst, Data Analyst, Technology Analyst, or related position. Must have at least one (1) year of experience with each of the following required skills: Big data and statistical tools to build technical infrastructure for implementing regulatory requirements; Visual Basic Programming to implement and execute financial models and automate manual processes; SQL Server and Oracle MySQL to analyze raw financial data and retrieve information; Unix Shell Scripting to manage applications and data on servers; Data visualization tools and techniques using QlikView and Tableau; and XML, JSON and Java Services to model and publish data across systems.



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