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Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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Knowledge and experience developing and advising on taxonomy and ontology governance; EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP.
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The Associate Director, Senior Quantitative Analyst is a critical member of the model validation team within the Model Risk Management (MRM) Responsibilities range in activities including risk governance and reporting, model inventory, model validation and model performance oversight.
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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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Our full range of advisory services includes strategic communications, investor relations, financial transactions and restructuring, management consulting, physical and cyber risk, organizational design, board and executive search, geopolitics and government affairs, corporate governance, ESG and DE&I.
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The Senior Asset Liability Management Analyst will conduct regularly scheduled and ad hoc interest rate and market sensitivity modeling commensurately producing required, comprehensive reporting results and providing output through the Bank's governance structures.
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Provide technical expertise in the areas of database design and implementation, services, master data management, data modeling, data quality, data governance, data access & data integration.
$89,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
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Credit Risk Sector / CCAR / Surveillance Leads who use the model suite on a BaU basis, and who will provide qualitative input to the model performance and suitability as part of the ongoing monitoring program, in addition to the quantitative KPI metrics produced by both Credit Risk Governance and the Risk Analytics team.
$140,000 - $222,500 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Underwrite and evaluate Natural Catastrophe Accumulation, ensuring an understanding of catastrophe modeling and interpretation of scenarios (for relevant LoBs). Underwrite in line with LoB governance framework - e.g., Underwriting Authorities, global MSU, Underwriting Guidelines, Rules and Principles.
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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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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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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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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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Proficiency in data governance, data quality management, and data modeling techniques to ensure the integrity and accuracy of lending information, including experience overseeing large surveillance programs for banks.
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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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governance modeling jobs in Secaucus, NJ
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