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Sr Analyst, Credit Risk Mgmt

at T-Mobile

Posted: 3/16/2020
Job Status: Full Time
Job Reference #: 613694

Job Description

Title
Sr Analyst, Credit Risk Mgmt

Location
WA504-WA-Headquarters, Newport Five

Job Description
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 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 tracking of new 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.

Req ID
137788BR

Positions Remaining
1

Functional Group
Finance

Location Address
12920 SE 38th St

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.

Brand
T-Mobile

Responsibilities
  • 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
  • Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines 


Company Profile
As America’s Un-carrier, T-Mobile USA, Inc. (NASDAQ: “TMUS”) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company’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 USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com

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City
Bellevue

Zip
98006

Qualifications
  • 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. Graduate degree in a quantitative discipline a plus
  • 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
  • Credit risk management experience preferred 
  • 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
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State
Washington

Schedule
Full Time

Travel Required?
No

Department
Finance

Minimum Qualifications
  • At least 18 years of age
  • Legally authorized to work in the United States
  • High School Diploma or GED