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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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A significant amount of time will be devoted to adding field data and associated metadata into a Digital Asset Management projects. The Intern will spend the majority of their time digitizing field data and adding/editing metadata for long-term data preservation and management.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Master of Science degree in Computer Science, Engineering (Any Branch), Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus two (2) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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Profile required DIVISION DESCRIPTION: Within Societe Generale Corporate & Investment Banking, the Global Markets Division brings together the Research, Investment and Risk Management Solutions, Execution and Clearing, Prime Services, Equities, Fixed Income, Futures and Currencies & Commodities structuring capabilities with the objective of providing investors with one integrated multi-asset market solutions team.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Job Details Description POSITION SUMMARYDirectly supports the Philanthropies group, including the Housing & Homelessness, and Mission Real Estate Development teams in executing the acquisition, development, asset management, financing, and portfolio tracking and reporting of grants and investments in commercial, multifamily, and institutional real estate projects, with a significant focus on affordable housing, in NYC, throughout the and internationally.
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Experience with Financial, particularly Investment management data a plus. We’re seeking a future team member for the role of VP, Data Scientist to join our Business Intelligence team.
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Experience and familiarity with credit investing / leveraged finance markets is a plus. Our $1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.
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data science a plus asset management jobs in New York, Amarillo, Texas
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