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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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The team independently maintains the HEDIS/QARR data repository that informs reporting of HEDIS, QARR, and PCMH data to NYS DOH and CMS. To that end, the team carries the responsibility of ensuring the monthly rates and annual HEDIS and QARR submissions are timely, and quality checked for accuracy and completion.
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Track all Comprehensive Quality Inspections and follow up with Project Teams to resolve findings in the best interest of NYCHA. Reporting to the Director, the successful candidate will provide, with latitude for independent judgment and discretion, direction to the Quality Inspection Section of the Construction Safety & Quality (CSQ) Department.
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The Head of R&D Automation platform is responsible for leading the technical design, implementation, testing and deployment of automated processes to accelerate Takeda's portfolio starting with preclinical research and ending with submission with the objective to improve efficiency and data quality across the entire business and data flow.
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Design and develop scalable data ingestion frameworks to transform a variety of datasets, capture metadata, lineage and implement data quality. Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions.
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Understanding of information management principles and practices (i.e. business intelligence, data warehousing, data architecture, data integration, data quality, data governance, data security, master data and meta data.
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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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Working knowledge of equity swaps configuration, TRS Generator configuration (& related static data), rate curve definitions, rate curve assignments, Pricing template, calculation templates, processing templates, VaR modules, CVA, LiveBook, OSP within Murex 3.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Onboard data by working with different sources/stores of data (OneTick, CQG, ICE, Bloomberg, Refinitiv, etc. Quest Partners is seeking a Quant Data Engineer for our Research Technology team.
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Major Responsibilities:Ability to price supported equity derivatives products within Murex, using different market data sets & model settings to perform testing and validation as needed. Provide high-quality support in using the Murex platform for pricing and structuring of complex financial products within trading domain (e.g. EQD derivatives.
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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
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Management of data and presentation for Medicine Quality Improvement Committee meetings, in coordination with CHS Medicine leadership. The role will involve developing a deep understanding of workflows and operations of the CHS Medicine service and working across disciplines to coordinate quality initiatives, analyze data, and support presentations.
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Act as the product owner of key strategic data products, working in collaboration with colleagues from across the Audubon data teams to ensure selection of appropriate technological approaches and tools and overseeing the product lifecycle in order to deliver high quality and efficient solutions to user-driven requirements and strategic priorities.
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Data Governance Knowledge Skills Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality Ability to implement and enforce data governance standards.
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data quality jobs Title: enterprise architect in New York, NY
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