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Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
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It is a pivotal source for our business strategies; therefore, at PNC, Data Management is every employee's responsibility. Identify risk and manage issues in coordination with the IT risk management function.
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Blockchain, artificial intelligence and machine learning, microservices architectures and IoT are within our solution set, as well as agile development, product management, design thinking and human-centered design approaches.
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As a Business Product Owner of the Fraud Data Platform / Near Realtime Analytics, you will manage data and analytics as a product to support business critical use cases, while utilizing advanced analytics, tooling and techniques including machine learning/AI approaches.
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Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
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Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree.
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At least 5 years of prior management experience is typically required. In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
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Preferred SkillsBranding, Change Management, Creative Process, Design Thinking, Influencing Others, Innovation, Machine Learning, Strategic Planning, Taking InitiativeCompetenciesBusiness Case Justification, Influencing, Innovation, Planning: Tactical, Strategic, Problem Solving, Strategic Thinking, VisioningWork ExperienceRoles at this level typically require a university / college degree.
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Preferred SkillsCompetitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical KnowledgeCompetenciesApplication Delivery Process, Consulting, Effectiveness Measurement, Industry Knowledge, IT Industry: Trends & Directions, IT Standards, Procedures & Policies, Problem SolvingWork ExperienceRoles at this level typically require a university / college degree.
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Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning. Application Design, Architecture, Business Intelligence, Data Architecture, Data Mining, Emerging Technologies, Informatics/Information Sciences, Information Management, IT Environment, Modeling: Data, Process, Events, Objects, Requirements Analysis.
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Use machine learning to drive insights into portfolio performance and identify opportunities to enhance account management strategies. Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management Banking.
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