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Should have an in-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) Proficiency in scripting languages, such as Python or Java; Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform; Understanding of machine learning and natural language processing techniques; Experience with interfacing Knowledge Graphs with Large Language Models; Familiarity with data visualization tools and techniques.
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Data Modeler that will be in hybrid in Charlotte, NC, or Tempe, AZ. It is a Data Modeler role that must have background using data modeling tools including Erwin, ER/Studio, and have strong knowledge of Azure and Databricks.
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At least five years' experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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The candidate will be responsible for evaluating and validating Models, EUCs (End-User Computing Tools and Spreadsheets) and CDDAs (Citizen Developed Data Analytics) used in the Bank in addition to conducting model risk management governance activities.
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This hands-on role will report to the Workday Principal Administrator as part of HR Technology Team. This role will drive HR Data reporting and analytics strategy, data discovery and collection, data security, data modeling, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Requirements: Requires a Master's degree in Mathematics, Engineering, Mathematical Finance, Financial Engineering or related quantitative field and 2 years of experience as a Quantitative Analyst, Quantitative Researcher, Data Scientist, Software Engineer, Modeling/Forecasting Senior Analyst, Risk Associate, or related position working for a global financial institution.
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Understanding of data modeling, data warehousing, data quality management and data governance principles is a big plus. Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members Master Data Management, capital markets/investment management, Fund Distribution.
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At least 8 years of experience in data management disciplines (data integration, modeling, optimization, data quality) or related data engineering tasks. Knowledge of data governance, data quality, and data security, including working with information stewards and privacy/security officers.
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Develop standards, tools, and governance for capturing, modeling, storing, and delivering data for the enterprise including identifying data-related business requirements and service standards, develop a high level enterprise data model and conceptual views of related data sub-architectures (e.g., database, data integration, data warehouse/business intelligence, reporting, automation, metadata, and content management architectures.
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The litigation support and investigation professionals have expertise in financial forensic investigations, valuation, solvency, fraudulent transfer, reconstruction of financial statements, damages, data modeling and analytics, structured products and derivatives and up tier exchanges.
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The ideal candidate will have a strong hands-on background in Java based micro-service architecture, data modeling, batch and streaming architectures, and experience in bringing technical solutions to help coordinate the activities of large-scale integration projects.
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Implement best practices for data governance, security, and compliance within Power BI projects. In-depth understanding of data modeling concepts and best practices for building robust and scalable data models in Power BI.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
$180,000 - $220,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ensure rigorous data governance and compliance with relevant data protection and privacy laws. Capability to leverage techniques in statistical analysis, machine learning, and predictive modeling is an advantage.
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data governance modeling jobs in Rutherford, NJ
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