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Holistic oversight over cyber & data risks/security topics: setting the vision in line with global Cybersecurity and Data strategy, providing directions and support to relevant cyber & data security initiatives in the Governance domain and its satellite initiatives.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Working with other stakeholders, the function is also the important catalyst and discussion partner with respect to broader BCG enterprise risk topics, including, but not limited to, areas of contracting and client matters, confidentiality, HR, IT, legal, and compliance topics including anti-bribery and corruption, KYC, supplier management, information management, insider trading, conflicts of interest, information security, and data privacy, etc.
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The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation. Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The HR Analyst will have the opportunity to work across multiple HR areas including talent strategy, performance management andpensation, talent development, employee relations, culture andmunity, and diversity, equity and inclusion.
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5-10 years for related experience and 3+ year of account management experience within an ad agency environment. MERGE promotes health, wealth and happiness in the world by merging storytelling with technology and offers marketing and technology clients full-service capabilities including strategy, creative communications, experience engineering, performance marketing, media and digital platform development.
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Bachelor’s Degree in Life sciences, including a min of 8 years in CDM, leading critical oncology or immunology projects from startup to database lock, adept at handling data for regulatory submissions, and proficient in Veeva EDC system management with a solid scientific educational background.
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Bachelor's degree from an accredited college or university in Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Cybersecurity and five (5) years of progressive information security experience across various information security/information technology risk management domains such as but not limited to application security, infrastructure security, identity, and access management, vulnerability and cyber threat management, security architecture, etc.
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Cloud Security: Proficiency in cloud security and experience with cloud service providers (e.g., AWS, Azure, Google Cloud, O365) and SaaS Data Security, knowledge of secure cloud architecture design, cloud data protection mechanisms, and cloud identity and access management (IAM.
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Data Management and Annotation: Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. Project Details Job Title: Data Analyst Location: Onsite office in Portland Hours: 40 hours weekly Start date: ASAP Employment Type: W2 Full-Time Employee Pay rate: $18 hrly Preferred Qualifications Bachelor's degree OR experience in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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data management strategy jobs Company: Integrated Resources in Cambridge, MA
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