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Sr Analyst, Credit Risk Management

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States , Overland Park

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Category:
Finance

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Join T-Mobile's dynamic Credit Risk Management team as a Senior Analyst in Strategy & Data Science. Collaborate with a talented group of analysts to identify groundbreaking credit segmentation opportunities through statistical methods. Work on credit decision processes, policies, collections strategies, and fraud prevention measures. Handle and analyze substantial data sets to drive insights and actionable recommendations. Develop predictive analytical models and participate in projects throughout various stages.

Job Responsibility:

  • 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 the 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
  • Legally authorized to work in the United States
  • At least 18 years of age

Nice to have:

  • Graduate degree in a quantitative field
  • Intermediate or higher proficiency in SAS or other statistical/analytical programming languages
  • Prior consumer risk management experience
  • Wireless/Telecom experience
What we offer:
  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid 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 insurance
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service and home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Additional Information:

Job Posted:
April 05, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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