T-Mobile US - Overland Park, KS

posted 13 days ago

Full-time - Mid Level
Overland Park, KS
Telecommunications

About the position

The Senior Analyst in Credit Risk Management at T-Mobile plays a crucial role in enhancing credit decision processes and strategies through data analysis and collaboration. This position requires a blend of analytical skills, project management, and effective communication to drive improvements in credit segmentation and risk management. The analyst will work closely with a team to transform data into actionable insights, contributing to the overall success of the Credit Risk Management team.

Responsibilities

  • Apply statistical segmentation techniques to identify new opportunities.
  • Perform sophisticated 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; analyzing 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.
  • Basic proficiency in SQL, Python, R or other statistical software packages required.
  • Outstanding computer skills in Excel, Word, PowerPoint required.
  • Strong communication (spoken and written), organization and presentation skills.
  • Proven time management skills and awareness of project management methods.

Nice-to-haves

  • Graduate degree in a quantitative field a plus.
  • Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred.
  • Prior consumer risk management experience preferred.
  • Wireless / Telecom experience.

Benefits

  • Competitive base salary and compensation package.
  • Annual stock grant and employee stock purchase plan.
  • 401(k) with wealth-building opportunities.
  • Access to free, year-round money coaches.
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