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As a Technical Analyst for the Prime Services Data Interface (PSDI) platform (central operational data store and data warehouse for the Prime Services transaction processing systems), you will work with business stakeholders in developing and designing solutions and documenting functional specifications.
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Endpoint management and best practices: McAfee AV, Carbon Black, and LogRhythm Good Project Management skills Some related Palo Alto Firewall administration (Panorama), network security, operations and management best practices preferred Understanding of network design, infrastructure, Active Directory and Group Policy Knowledge of enterprise patching / updates is a must Some related scripting skills (Python.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Knowledge of coding and programming skills, including but not limited to Bloomberg, FactSet, Python, R, or equivalent. Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning.
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Highly proficiency in programming languages such as Python, R, and MATLAB for quantitative research, data analysis, model implementation and creation of interactive dashboards. Experience with risk modeling software, quantitative analytics platforms, and market data providers (e.g. Bloomberg.
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Hands-on experience with one or more of Python, R, MATLAB, and SQL. We are seeking a Quantitative Analyst to be a part of our Market Risk team at Santander Capital Markets. Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing.
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Experience deploying Python solutions (e.g., Web Apps, APIs, SPA integrations) to Azure using Infrastructure as Code (IaC) tools such as Azure CLI, Azd, Bicep, Powershell/Bash, and Oryx. Proficiency in Python web frameworks like Django or Flask.
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The Healthcare Data Analyst will collaborate with clinical Informaticist and researchers to define and develop appropriate solutions for various reporting needs. Design, implement, test, deploy, and manage data marts that align with the Data Warehouse architecture and enterprise data strategy.
$148,800 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Education Requirements Bachelor’s Degree required Technical Skills and Experience 2-4 years of r elevant experience in renewable energy acquisitions and financing or another related role, including internships or other co-op experiences Creating and modifying Excel based models including financial statement models and valuations/LBO/DCF models.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Please email your resume orUse this link to apply directly: Or email: igorkbrainsworkgroup.com Check ALL our Jobs: Keywords: java oracle sql api python javascript tidal jira servicenow confluence analyst pl/sql t-sql mulesoft anypoint ci/cd python restful postman swagger apigee.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Proficient in Microsoft Office (EXCEL), SAS, R, Python or other programing languages. " Conduct data analysis and support pool owners in reviewing the results." This role sits in Enterprise Risk Analytics (ERA), and will review and challenge the stress testing process, which requires proven partnership, leadership and credit and market risk expertise as the team will coordinate across multitude of stakeholders in first line of defense teams, ERM governance, model development, reporting, technology, Internal Audit, and external regulators.
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data science analyst r python jobs Company: Financial Industry Regulatory Authority in New York
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