Analyst, Credit Risk - Data Science & Modeling at T-Mobile Overland Park, KS

Analyst, Credit Risk - Data Science & Modeling job at T-Mobile. Overland Park, KS. 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 an Analyst within the Credit Risk Management team, you will wear multiple hats. You will use your strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships. You will work independently, and/or 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 partner 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 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 actively with creative and credit‑focused ideas, to demonstrate problem‑solving skills and ownership aptitude. Unstoppable, Together!

• Utilize statistical segmentation techniques to identify new opportunities
• Extract, load and transform data from multiple sources necessary for statistical, reporting and ad‑hoc analysis
• Perform qualitative and quantitative analysis of credit polices to meet given objectives
• 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
• Work with credit bureau and alternative credit data
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

• 2-4 years experience in a qualitative analytical function
• Bachelor's Degree Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
• 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

• 3+ years of quantitative analytic modeling experience, credit risk management or comparable process management experience
• Graduate degree in a quantitative discipline a plus
• Basic proficiency in SQL, Python, R or other statistical software packages
• Prior consumer risk management experience a plus
• Wireless / Telecom experience a plus
• At least 18 years of age
• Legally authorized to work in the United States

Travel Required:

No. DOT Regulated Position:
No. Safety Sensitive Position:
No. Base Pay Range: $76,100 - $137,300. Corporate Bonus Target: 10%.

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 Applic or calling  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.