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Deep previous experience in the investment management industry and common applicable data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices.
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Are preferredBasic Knowledge of security-related topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methods, and data storageFundamental knowledge of process reengineering and methodologies, including flowcharting and technical design documentationAbility to convey complex technical security concepts to technical and non-technical audiences.
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Technical expert supporting vulnerability management and stakeholders for areas including system administration, network infrastructure, IT operations, and data administration; provide Subject Matter Expertise on cloud security, container security, vulnerability risk, remediation, and mitigation.
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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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Working closely with across groups, such as the product, engineering, data science, compliance, and security teams, for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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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. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.
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Python, R, SAS/SQL, Stata, etc) Very good communication skills (both verbal and written) as well as solid project management skills and ability to multitask. The successful candidate will join the Model Risk Management and Validation Group (MRM&V.
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The ideal candidate will have a strong background in data architecture, investment management domain, technology, data, and with supporting large technology implementation projects.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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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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Data Management Principles and Data Governance Lifecycle and standards and tooling. The initiative touches on client, portfolio management, operations, compliance, and data solutions and has a global focus.
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Introduce learning capsules to enable self service capabilities for management of business data catalog and allied assets. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Design, develop and establish highly complex data management documentation based on program requirements. General computer skills with developed familiarity with product data management tools.
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Contribute to platform ownership tasks such as permissioning, metadata management, and maintenance for the data warehouse and Looker platform. Experience working with cloud data warehouses (Snowflake, BigQuery, and/or Redshift.
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data management jobs Title: technology Company: Simplyapply in Boston, MA
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