Analyst, Credit Risk - Strategy And Data Science

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T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop!
Ready to join the Credit Risk Management team at T-Mobile as an Analyst focused on Credit Risk strategy? This role wears multiple hats - we value your unique blend of analytical skills, project management finesse, and exceptional presentation abilities.
As a team, we work independently or collaboratively within a dedicated group of analysts. Together, we'll uncover credit segmentation opportunities using innovative statistical methods, driving improvements to our credit decision processes, policies, collections strategies, and fraud prevention measures. Partner within members of Credit Risk team and organizational parters in T-Mobile for the deployment, analysis and tracking of new credit strategies to manage risk.
In this role, you will manipulate large datasets, extracting key insights and communicating actionable recommendations with clarity and precision. Actively participate in projects at every stage, from idea generation to development and implementation.
Join us, and together, let's shape the future of credit strategies at T-Mobile!
Responsibilities:

• Apply statistical segmentation techniques to identify new opportunities
• Extract, load and transform data from multiple sources 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
• Drive and deliver work output with full awareness and adherence to project timelines

Qualifications:

• Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required
• Graduate degree in a quantitative discipline preferred
• Intermediate or higher proficiency in SAS or other statistical/analytical programming languages required
• Superior computer skills in Excel, Word, PowerPoint required
• Basic proficiency in SQL, C++, Python, R or other statistical software packages highly preferred.
• 3+ years of quantitative analytic modeling experience, Credit Risk management or comparable process management experience preferred
• Superior communication (spoken and written), organization and presentation skills required
• Superior time management skills and awareness of project management methods required
• Prior consumer risk management experience preferred
• Wireless / Telecom experience preferred

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