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Understand key Data Management concepts and apply Analytics to support audit testing. Basic knowledge of Cloud, Cyber & Data Management principle. Propose, build and execute data analytics solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, QlikView, Toad, Tableau, Business Objects, and others.
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7+ years of experience in quantitative modeling, risk analytics, data science or related field, with a strong background in credit risk modeling, CECL, and stress testing. Champion the use of AI and ML in the risk management and analytics processes, evaluating potential applications and ensuring responsible implementation.
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Model Development Lifecycle Document model development and testing in accordance with Model Risk Management guidelines. Modeling and Forcasting Partnering with Finance and Credit, develop, document, and support the deployment of quantitative models and other analytic tools, focused primarily on credit risk and capital management modeling (expected credit losses, stress testing, economic capital) and automated credit decision models.
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Define, manage, and advance enterprise information management principles, policies and programs for stewardship, advocacy and custodianship of data and analytics, in concert with legal, information security, and corporate risk and compliance offices.
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Together, we drive innovation, shape strategic initiatives and propel Capital One Software to new heights in the data management landscape. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management.
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
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We achieve this by implementing rigorous data governance practices, constructing an analytical data store, and harnessing the power of analytics to unlock valuable insights. Join us and be a catalyst for change in the world of data and analytics.
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Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology. Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Our Market, Clients, and Sales Analytics (MCS) team requires a senior manager who is able to navigate the complex CB data environment and through their team, provide accurate, timely analysis.
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As a Portfolio Analytics & Strategy Manager Senior within PNC's Retail Credit Data Management organization, you will be based in based in Pittsburgh PA, Cleveland OH, Birmingham AL, Atlanta GA, Chicago IL, Wilmington DE, Tysons Corner VA, Charlotte NC, New York NY, Houston TX, or Dallas TX. The position is primarily based in a PNC location.
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You will work closely with cross functional teams across ESG, Human rights, supply chain risk management aswell as relevant functions from sales, customer success, data & analytics and marketing to sell innovative and market driven products to our clients.
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REQUIREMENTS Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field Minimum of eight (8) years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or related field Prior team management experience Knowledge of statistical modeling and data science concepts Hands on experience with SQL, Python, and data visualization tools such as Tableau Financial services experience highly desirable.
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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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Join our dynamic Data and Analytics team at Capital One Software, where we are dedicated to transforming data into a strategic asset. Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis.
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data management risk jobs Title: analytics manager in Holdrege, Nebraska
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