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The Business Intelligence Developer II will develop and maintain BI interfaces that support Duck Creek Technology’s initiative to improve Data Quality, Data Audit processes and Corporate Metrics Reporting, including developing a Data Architecture with role-based security.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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Strong knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data anonymization & masking, data quality, data lineage, data privacy, data security, meta data management, data analytics and reporting, and artificial intelligence (AI.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.
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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. Develop and enforce best practices for IT infrastructure management, including disaster recovery, data storage, network design, and cloud services.
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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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These systems include: Security Data Loss Prevention, Identity and Access Management, Authentication Platforms, Advanced Malware and Anti-Virus, Web Filter, Proxy, SIEM (Security Incident Event Manager), File Integrity Monitoring, IPS/IDS, Database Activity Monitoring, Threat Intelligence, Secure Configuration Management, and Network Security along with the direct security configuration aspects of VCenter, Citrix, Windows Active Directory, Exchange, and any other Information Systems.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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Implement row-level security on data and understand application security layer models in Power BI. Hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, including design, development, deployment, data engineering, and data management projects and practices.
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Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, UNIX, AWS, FileZilla, Microsoft Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS.•Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS.
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7+ years of data management and analytics experience in either banking, consulting, or cryptocurrency. Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Collaborate with key stakeholders across the organization, including clinical operations, regulatory affairs, data management, and IT, to assess user needs, gather requirements, and develop tailored solutions to address business challenges.
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Investment Management Domain Expertise: Understanding key data domains in investment management such as clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, and benchmarks/indices is essential.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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