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T-Mobile USA, Inc. REQ197090 Senior Credit Risk Managers in Bellevue, Washington

T-Mobile USA, Inc. seeks Senior Credit Risk Managers in Bellevue, WA to work closely with the Credit Risk Management leadership team, the Financial Services organization, and the corporate functional leaders to define overall credit risk strategy by providing analytics insights and innovative problem-solving recommendations. Responsible for identifying new credit segmentation or business strategy opportunities to drive enhancements to our credit decision process and policies. Lead the development and/or deployment of effective and optimal risk strategies and partner with other functional teams in T-Mobile for technology release and tracking of the new strategies. Participate and lead workstreams for Credit Risk in large corporate product and technology projects. Manipulate large amounts of data, provide findings on data context and quality, extract key insights from the data using statistical concepts, and take it up a notch by clearly and concisely communicating actionable recommendations based upon insights. Represent the Credit Risk Management team in the role of credit data, credit strategy, and statistic methodology expert. Develop a deep understanding of the industry, corporate, and customer drivers to leverage in the optimization of all aspects of our decision strategy and business processes across the credit lifecycle. Perform a leading role on projects and initiatives, working closely with the team and corporate stakeholders to understand key business issues and translate them into credit strategy and business solutions. Lead and perform complex qualitative and/or quantitative analyses of credit policies to ensure financial and credit goals are achieved. Lead the development of predictive financial and analytical models (including stochastic, dynamic, or non-linear systems) using the appropriate statistical methodologies. Participate in the selection of external and internal data-only or data-driven solutions, leading and performing the analysis of new vendor products or solutions. Extract, process, and transform data from multiple disparate sources, championing process evolution, and fostering an effective data analysis culture. Create and execute project management plans for team projects and initiatives, providing the fundamental structure for project timelines, resources, dependencies, and critical path. Work with enterprise project management resources directing their efforts to create the necessary project management plans. Lead, participate or support team efforts in loss forecasting analysis. Telecommuting is permitted, but applicants must live within a reasonable commuting distance. Experience and education requirements: PRIMARY REQUIREMENTS: Master’s degree in Analytics, Economics, or related, and 7 years of relevant work experience. ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Analytics, Economics, or related, and 9 years of relevant work experience. In addition, the following skills are required: (1) Applying statistical and mathematical methodologies including Linear Regression, Logistic Regression, Decision Tree, Cluster Analysis, and Hypothesis Testing to perform segmentation, prediction, forecast, and exploratory analysis. (2) Utilizing SAS, R, Python or other statistical/analytical model building/programming computer languages to perform and lead statistical analysis to ensure financial and credit goas are achieved. (3) Utilizing Data Visualization tools including Tableau to translate, communicate, and present complex mathematical results to a broad audience. (4) Writing SQL code to extract, combine, and manipulate large amounts of data from multiple data sources to create analytical data samples. (5) Managing projects including leading the development and deployment of effective and optimal risk strategies. T-Mobile requires all employees in this position to be fully vaccinated for COVID-19, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as t

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