Sr Analyst, Credit Risk Mgmt

Job Description:

As a Sr. Credit Risk Analyst within the PCR team, you will be required to wear multiple hats. You must have a strong blend of analytical and/or statistics skills, presentation skills, project management, and ability to develop strong partnership/relationships with key business partners. You will be identifying new credit segmentation opportunities using statistical methods, contributing to teams making enhancements to our credit decision process and policies, developing collections strategies, and partnering with other functional teams in T-Mobile in the development of new credit strategies to manage risk. You must be able to manipulate large amounts of data, provide findings on data context and quality, extract key insights from the data, and then be able to take it up a notch and clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will participate in projects in various stages playing the role of credit data expert, analytic methodology specialist and primary statistics analyst.


Requires competency in customer focus, change & innovation, strategic thinking, relationship building & influencing, talent management, results focus and inspirational leadership. Essential Functions

  • Utilize statistical segmentation techniques to identify new opportunities
  • Perform complex qualitative and quantitative analysis of credit polices 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
  • Analyze credit bureau and alternative credit data


  • 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, organization and presentation skills
  • Superior time management skills and awareness of project management methods
Qualifications ââ,¬ Desired
  • 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
Education ââ,¬ Minimum Required Bachelorââ,¬â„¢s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree

Minimum Qualifications:

ââ,¬ At least 18 years of age
ââ,¬ Legally authorized to work in the United States
ââ,¬ High School Diploma or GED
ââ,¬ Pre-employment background screen

Company Profile:

As Americaââ,¬â„¢s Un-carrier, T-Mobile US, Inc. (NASDAQ: ââ,¬Å"TMUSââ,¬?) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The companyââ,¬â„¢s advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile US provides services through its subsidiaries and operates its flagship brands, T-Mobile and MetroPCS. For more information, please visit

EOE Statement:

We Take Equal Opportunity Seriously - By Choice

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.

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