SAS Analyst

As a Senior Analyst supporting CFAM strategy development within the Credit Risk Management team, you must have a strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships.You will be working independently and/or in as part of a team of analysts to identify new credit segmentation opportunities using statistical methods leading to enhancements to our credit decision process and policies, collections strategies, and fraud strategies. You will be partnering within members of the Credit Risk Management team and other functional teams in T-Mobile for the deployment, analysis and development of innovative credit strategies to manage risk.You must be able to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will participate in projects at various stages from idea or hypothesis generation to development and/or implementation. You will be expected to contribute as credit data expert, analytic methodology specialist and primary statistics analyst. Qualifications – Minimum Required 5+ years of quantitative analytic modeling experience or comparable process management experience BA/BS in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required Intermediate or higher proficiency in SAS or other statistical/analytical programming languages Superior computer skills in Excel, Word, PowerPoint required Superior communication (spoken and written), organization and presentation skills Superior time management skills and awareness of project management methods