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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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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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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Design, develop, and deploy scalable data pipelines and ETL processes on cloud-based infrastructure using Azure, Snowflake, DBT, Airflow, Cosmos DB.
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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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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Management Principles and Data Governance Lifecycle and standards and tooling. 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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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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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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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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The initiative touches on client, portfolio management, operations, compliance, and data solutions and has a global focus. Introduce learning capsules to enable self service capabilities for management of business data catalog and allied assets.
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They will act as a translator, champion and ambassador of our data platforms, connected data products, analytics, tooling and capabilities across IT. They will possess data and technical skills, strong pragmatic leadership abilities and a deep understanding of data management and governance principles and technologies.
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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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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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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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Industry standard Metadata management product - Collibra, Informatica EDC/AXON/CDGC. 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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data management jobs Company: Simplyapply in Cambridge, MA
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