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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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The Quantitative Finance Manager (QFM) will play a key role in developing and overseeing the execution of Corporate Audit's enterprise-wide coverage of Artificial Intelligence and Machine Learning ('AI') models.
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Requires in-depth knowledge and experience with cloud in a given area, particularly Microsoft Azure, Microsoft 365 and Microsoft Copilot/Azure OpenAI/artificial intelligence. Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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The VP, Threat Intelligence Operations and Automation Leader is respons ible for leadin g the strategy and operations of Cyber Intelligence, Threat Informed Defense, and Security Automation programs supporting Cyber Operations and Information Security.
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Produce intelligence through querying data repositories, generating periodic reports, and identifying risk trends through quantitative and qualitative analysis. Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc.
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Keywords: Charlotte NC Jobs, Director, Financial Planning & Analysis, Business Intelligence, PowerBI, Enterprise Scale Dashboards, Reports, Scorecards, Data Sets, Statistical Models, Data Visualization, KPI, Key Performance Indicators, Restaurant Industry, North Carolina Recruiters, IT Jobs, North Carolina RecruitingLooking to hire for similar positions in Charlotte, NC or in other cities.
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These include Credit Loss Forecasting, Commercial and Retail Underwriting, Commercial and Retail Risk Rating, Treasury, Home Lending, Stress Testing, Fraud, BSA/AML, Capital Markets, Pricing, Hedging, Fraud Identification, Liquidity, Regulatory Reporting, and artificial intelligence/machine learning models.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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Communicates with senior management, regulators, auditors, and other stakeholders regarding financial intelligence program including status, issues, and risks. Leads analysis and response efforts for financial intelligence including internal escalation and reporting.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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To qualify for the role, you must have: Bachelor’s degree, or master’s degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence and 8-10 years’ experience in industry or technology consulting.
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This role is specifically on our EDD Team (Enhanced Due Diligence) and is part of the Financial Intelligence Unit. Certified Anti Money Laundering Specialist (CAMS) or Certified Fraud Examiner (CFE.
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Our Splunk deployment serves IT operations, security, and business intelligence purposes. Staff have kayaked in Patagonia, attended a Beyoncé concert in Ireland, built a library in Tanzania, and run a marathon in Antarctica.
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Collaborating with Data scientist to optimize the scoring pipeline. Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
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artificial intelligence jobs Title: senior data scientist in Charlotte, NC
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