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JPM
JPMorgan Core Data Product - Party Management Director United States, New Jersey, Jersey City
Jointly lead strategic solution and design for party, role, and relationship data informed from Business use case gathering, focusing on delivering business value for strategic initiatives like CRM. Gather, analyze,...
In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. Work directly with other technical experts in their fields (industry and...
Develop and implement payment control processes to ensure compliance with regulatory requirements. Monitor and analyze payment transactions to identify potential risks and discrepancies. Analyze risk data tools and build intelligent...
Work with the CEM and Rates Sales, Trading and QR to understand solutions needed to solve business problems. Understand and refine current data architectures to persist critical business data across...
Drive server management for large clusters and data centers deploying GPUs and Grace solution from NVIDIA. Work with data center architects and cloud customers to narrow down on requirements for...
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the art machine learning models to solve real-world...
Work with partners in Real Estate, Corporate Strategy, Distribution Strategy, Data and Analytics, and various lines of business to understand and document analytic project objectives, deliverables, and timelines. Ensure constant...
Jointly lead strategic solution and design for party, role, and relationship data informed from Business use case gathering, focusing on delivering business value for strategic initiatives like CRM. Gather, analyze,...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.