Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Product Data Quality is a high-value risk management team in Engineering that, across all firm divisions, is responsible for the governance programs that ensure critical securities modelling and pricing data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions.
Product Data Quality (PDQ) is a part of Data Intelligence and is comprised of four teams, based in Salt Lake City, Warsaw, Bangalore and Singapore.
Engineering is a dynamic, multi-faceted division that partners with all parts of the firm to deliver banking, sales and trading and asset management capabilities to clients around the world.
Data Stewards ensure completeness, accuracy, and suitability of their assigned data sets by applying subject matter expertise to make risk based judgements to maintain data. Data Stewards design and execute proactive controls to mitigate risks by detecting and correcting anomalies; they also design solutions to meet new commercial objectives in a way that complies with underlying governance models. They ensure broad understanding of their data models, content and requirements across internal and external data producers, consumers, developers and project managers. Data Stewards translate requirements from stakeholders to help set development priorities, and test developed solutions before they are released into production. This gives them exposure to every business and product types on a global basis. The role requires the team to work closely with each of our supported business units to ensure their data quality needs are met currently, and that their reference data requirements grow as their business evolves.
HOW YOU WILL FULFILL YOUR POTENTIAL
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ABOUT GOLDMAN SACHS
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