T-Mobile US - Overland Park, KS

posted 5 months ago

Full-time - Mid Level
Overland Park, KS
Telecommunications

About the position

Be unstoppable with us! T-Mobile is synonymous with innovation—and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! As a Senior Analyst within the Credit Risk Management team, you will be required to wear multiple hats. You must have a strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships. You will work 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 partner with members of the Credit Risk Management team and other functional teams in T-Mobile for the deployment, analysis, and tracking of new credit strategies to manage risk. You will 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 a credit data expert, analytic methodology specialist, and primary statistics analyst.

Responsibilities

  • Apply statistical segmentation techniques to identify new opportunities
  • Perform complex qualitative and quantitative analysis of credit policies to ensure financial goals are being attained
  • Develop predictive financial and analytical models using appropriate statistical methodologies, including trend and regression analysis
  • Participate and perform the analysis of new data and statistical products by external vendors
  • Perform loss forecasting analysis
  • Extract, process, and transform data from multiple disparate sources; analyze credit bureau data and alternative credit data
  • Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Requirements

  • 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

Nice-to-haves

  • Graduate degree in a quantitative discipline a plus
  • Basic proficiency in SQL, C++, Python, R or other statistical software packages a plus
  • Prior consumer risk management experience a plus
  • Wireless / Telecom experience a plus

Benefits

  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off and up to paid 12 holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short and long term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
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