Sr Analyst, Credit Risk Mgmt - Data Science and Modeling

Company: T-Mobile USA, Inc.
Location: Overland Park
Posted on: May 1, 2025

Job Description:

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

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.

Responsibilities

• Develop, maintain, and monitor credit attributes from both external credit bureau data as well as internal customer behavior data
• Design, develop, maintain, and monitor Credit Risk models emphasizing both prediction accuracy, and the impact to losses and profitability
• 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
  
  Qualifications
  
  Education:
  
  • Bachelor's Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree - Required
  • Masters degree or Phd in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree - Preferred
    
    Experience Required:
    
    • 5+ years of quantitative analytic modeling experience or comparable process management experience
    • Intermediate or higher proficiency in SAS or other statistical/analytical programming languages
    • Proficiency in SQL, C++, Python, R or other statistical software packages
    • 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
      
      Experience Preferred:
      
      • Prior consumer risk management experience a plus
      • Wireless / Telecom experience a plus
        
        #LI-Corporate
        
        --- At least 18 years of age
        --- Legally authorized to work in the United States
        
        Travel:
        Travel Required (Yes/No):No
        
        DOT Regulated:
        DOT Regulated Position (Yes/No):No
        Safety Sensitive Position (Yes/No):No
        
        Base Pay Range: $84,600 - $152,600
        
        Corporate Bonus Target: 10%
        
        The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
        
        At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here .
        
        At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com .
        
        Never stop growing!
        As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
        
        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, religious affiliation, 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, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
        
        Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Keywords: T-Mobile USA, Inc., Overland Park , Sr Analyst, Credit Risk Mgmt - Data Science and Modeling, IT / Software / Systems , Overland Park, Kansas