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QUALIFICATIONS: Minimum education and experience required: Master's degree in Information Systems, Finance, Economics, Business, Mathematics, Quantitative Finance, or related field of study plus One (1) years of experience in the job offered or as Market Risk, Graduate Assistant, Data Scientist, or related occupation.
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You will use a data-driven approach to outbound sales that incorporates prospecting, email communication, and calling at scale. As a Mid Market Business Development Representative, you will work with our Sales team to find new merchants that fit the Square ecosystem.
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Provides UX expertise to the product definition and evaluation process utilizing multiple sources of information (field work, interviews, internet, intranet, market data/literature). BNY Mellon assesses market data to ensure a competitive compensation package for our employees.
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Must have knowledge of core corporate finance functions including AML, KYC, Finance, CCAR, CECL, Risk (credit, market, Ops) and others. Propose, build and execute data analytics solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, QlikView, Toad, Tableau, Business Objects, and others.
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This role requires in-depth knowledge of front office Credit Trader and Sales desk workflows, notably: E-Trading, Trade Capture, Pricing & Valuations, Position, P&L & Cash management, Portfolio Trading, Front Office Risk management, Lifecycle management, market data, curve building, post trade events and API access.
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Scope, sell, and deliver commercial data projects, which can include but are not limited to market sizing/ segmentation, provider profiling/targeting, provider affiliation mapping, epidemiology studies, managed care analytics, pull-through modeling / program design, forecasting, field force design, and incentive comp.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank. Familiarity with data visualization tools like Tableau or Power BI.
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The CSB Market Credit Manager II (MCM) manages the credit underwriting and credit administration functions within Specialty Banking, consistent with the TD Bank Group Risk Appetite Principles, including establishing the credit structure, Borrower Risk Ratings and Facility Risk Ratings for new and existing credit relationships.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Performs related work Reports to: First Deputy Chancellor Direct Reports: Chief of Staff, Student Pathways; Executive Assistant; Senior Executive Director, Student Pathways; Senior Advisor, Strategy; Executive Director, Career-Connected Learning; Executive Director, Pathways Data; Executive Director, College and Career Planning.
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Our data science track covers most of the below: Topics and content might change based on the market requirements. 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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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Experience with big data technologies such as Apache Kafka , Apache Airflow , or Databricks. Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading.
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market data jobs Title: manager Company: Ryder System in Long Island City, NY
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