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Agility core practices, Analytical Thinking, Computational Thinking, Continuous Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, Trading knowledge.
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The application of models can span across different business units including uses for CECL, CCAR/DFAST, stress testing, regulatory, management, or client reporting related to interest rate risk, liquidity risk, or portfolio management.
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It also includes the seven UIC health science colleges: the College of Applied Health Sciences; the College of Dentistry; the School of Public Health; the Jane Addams College of Social Work; and the Colleges of Medicine, Pharmacy, and Nursing, including regional campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana.
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Disciplines: Curriculum and Instruction, Early Childhood, Elementary Education, Doctoral Programs, Educational Leadership, Reading and Language Arts, Secondary Education, Special Education, Mathematics Education (middle grades), Technology in Education, Student Teaching Supervision, School Psychology, and Teaching, Learning and Assessment.
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Track and provide security metrics, status updates and reports for the Inspira Security ProgramProvide guidance to Security Engineer I/II rolesOther duties as assignedIF YOU HAVE SOME OR ALL OF THE FOLLOWING, APPLY:Bachelor's Degree in Computer Science, Software/Computing Engineering, Applied Mathematics, or related field5 - 7 years of applicable experienceTechnical Certifications a plusHighly self-motivatedPossess a combination of technology, security, and analytics skills.
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Experience in data management, with some exposure to EDC, IRT, and/or eCOA. AbbVie Data Science is the best-in-class team within its cross-industry peer group and is. Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent.
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Demonstrate extensive understanding of IAM concepts such as directory services, SSO, federation, MFA, provisioning, access certification, roles and SOD. The analysis, design, implementation, and maintenance of all layers of IAM applications, including Authorization / Authentication and Account Creation / Management / Provisioning / Retirement in data repositories.
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Stay up-to-date with industry best practices, emerging trends, and regulatory guidelines related to market risk modeling risk management, incorporating them into the model risk management process.
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Keywords: High Frequency, Equity, Trading Strategist, Statistical Modeling, Automated Trading, Risk Management, Portfolio Optimization. Development, research, maintenance and risk management of quantitative high frequency automated equity trading strategies.
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Strong background in all cyber security controls risk assessment, e.g., cloud, network, data, operating system, API, and identity management security. Current certification in one or more of the following: CISSP, CISA, CISM, CRISC, CCAK, or CCSP.Minimum of 5+ years of relevant work experience such as IT external audit, IT internal audit, IT risk management, IT change management, and/or IT processes.
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Master's Degree in Psychology, Education, Applied Behavior Analysis or a related field. Maintain meticulous client notes and data, ensuring accuracy and effectiveness in therapy. Established management skills.
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The Principal Architect – Identity & Access Management (IAM) will design a modern IAM platform that delivers secure, reliable, scalable, and performant systems. Join our Cybersecurity and Digital Risk (CDR) team to help us also become the leading cyber-safe airline in the industry.
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The Director leads a cross-disciplinary team of social scientists and ecologists, data and spatial analysts, and engagement and environmental specialists to set and implement priorities, achieve science-driven objectives, as well as represent the Center to partners, funders, and donors.
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6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
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Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
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