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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Strong understanding of data modeling, data warehousing, and data governance principles. Basic knowledge of machine learning and data analytics concepts. Experience with cloud-based data architectures and best practices.
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Strong knowledge of a wide range of banking functions, including: credit products and operations, loan products and operations (deposits, credit cards, lending, underwriting) Experience with environmental, social, and governance risk management Experience incorporating climate considerations into business functions (e.g. modeling, stress testing, etc.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance.
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Proficiency in data engineering technologies such as SQL, Python, ETL tools, data modeling, and cloud-based data platforms (e.g., AWS, Azure, GCP). Define and enforce best practices, standards, and methodologies for data engineering processes and ensure compliance with industry regulations and data governance standards.
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Strong background in data management, governance, modeling, and development Qualifications Expertise in Python, Java, REST APIs and relevant automation framework Exposure to any of the Data Catalog tool like Informatica EDC, Collibra Catalog, Alassion etc.
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Solid understanding of database management systems, data integration techniques, and data governance principles, with a focus on Azure services. Strong knowledge of data modeling, data warehousing, ETL processes, and business intelligence concepts, particularly within the Azure ecosystem.
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Experience with governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
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We do this by leveraging our deep knowledge of industry regulations and proven methodologies to design, assess, and transform their risk and regulatory processes and data infrastructure. Strong experience with the contents and implementation of specific regulatory initiatives such as: Dodd-Frank, general consumer compliance, regulatory structure and organizations including the FRB, the CFPB, the OCC, the CFTC, FINRA, and the SEC The teamAgainst an increasingly complex regulatory landscape, we help clients mitigate risk and achieve compliance.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Skilled in establishing data governance, encompassing data quality, metadata management, lineage tracking, and access control, with a dedicated focus on building robust, high-quality data foundations.
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Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles. Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
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Lead the development and implementation of data governance policies and procedures to ensure data integrity and security. If you are a highly analytical individual with a passion for driving data-driven decision making, we invite you to apply for the position of Business Intelligence Manager.
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Strong program management and planning experienceStrong analytical skills, with a passion for working with large complex data sets, with a particular emphasis on predictive modeling and best-in-class associated technology/tools.
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This function leads the analytics, data, and modeling team within FCFP, operating in partnership with Business and Enterprise Technology, Financial Crimes and Fraud Prevention Operations, Policy, Risk, Audit, and multiple stakeholders at all levels of management.
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A Postdoctoral Scholar position is available with an NSF-funded project investigating wildfire risk governance networks in the American West. We seek a social-ecological systems scientist or quantitative social scientist to lead project management, data analysis, outreach, and scientific writing.
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