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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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Advanced knowledge of R, SQL, and Python. - Working knowledge of R, SQL, and Python. - Form strong relationships with internal teams, including Data Engineering, Product, Data Science, Analytics, and Commercial stakeholders to support the build, adoption, and impact of the Measurement Playbook.
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Actimize or other financial crimes system experience is a plusAbility to write SQL or Python scripts and code to build automated controlsStrong understanding of relevant regulations, such as Bank Secrecy Act (BSA), USA PATRIOT Act, OFAC regulations, and other global sanctions requirements.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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The Governance Team with Robinhood Markets Platforms comprised of the Customer Experience and Customer Trust & Safety areas works with various Robinhood entities including the Operational and Compliance teams at Robinhood Securities, LLC ("RHS"), Robinhood Financial, LLC (“RHF”), Robinhood Crypto LLC (RHC) and Financial Crimes to drive a culture of governance and compliance that actively supports the people, process and technologies vital to our business.
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Strong quantitative skills, prior experience with coding and data visualization tools such as Python, Alteryx, SQL & Tableau. 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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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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Experience with programming languages / statistical software (e.g., EViews, Python, R, Excel VBA) is a plus and advanced Excel and Microsoft Office skills are required. Join the Firmwide Economic Scenarios & Analytics team within the Office of the Chief Financial Officer, where you'll oversee the development and distribution of macroeconomic scenarios used in the Firm's forecasting processes.
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This position involves cross-functional interaction and collaboration across teams within Treasury and the broader firm, including but not limited to Liquidity Management, Asset Liability Management, Regulatory Reporting, Financial Controllers, and Finance Change Management.
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We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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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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Expert in Microsoft Office Suite, SQL, Python, data visualization tools such as Power BI or Tableau. Domain knowledge of cyber security (i.e. vulnerability management, Security Operations, Data Protection, Privacy and Compliance, etc.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. 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.
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Demonstrated experience with quantitative software and tools (e.g. Python, R, Alteryx, Tableau, SQL) used for data analysis and visualization is desirable. Utilize analytical tools (such as Alteryx, Tableau and Excel) to prepare and analyze data (including calculation of financial metrics and ratios) on a quarterly basis.
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data management r python financial crimes jobs Title: analytics in Newark, NJ
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