Sr. Analyst, Credit Risk Management - Strategy & Data Science

Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new challenges! At our core, we believe in a collaborative approach, and as a key player in our team, you'll find yourself wearing multiple hats. Your unique blend of analytical prowess, project management finesse, and outstanding presentation skills will be the driving force behind our success.

Collaborate seamlessly with a talented group of analysts, identifying groundbreaking credit segmentation opportunities through statistical methods. Fuel enhancements in our credit decision processes, policies, collections strategies, and fraud prevention measures. This role extends beyond just analysis – you'll be an integral part of the Credit Risk Management team, working hand‑in‑hand with business partners at T‑Mobile. Together, we’ll deploy, analyze, and track new credit strategies, manage risk and craft the future of our credit landscape.

Ready to make a real impact?

Embark on an exciting career, at the forefront of transforming raw data into meaningful insights! As a key player in our dynamic team, you'll be entrusted with the task of handling substantial data sets, extracting valuable insights, and presenting clear, actionable recommendations. Actively engage in projects, from generating innovative ideas to contributing to the development and implementation stages. Are you ready to bring your expertise to the table as a Credit Risk Management Sr Analyst?

Join us and be a driving force in shaping the future of data‑driven decision‑making!

• Apply statistical segmentation techniques to identify new opportunities
• Perform sophisticated 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; analyzing credit bureau data and alternative credit data
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

• 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
• Basic proficiency in SQL, Python, R or other statistical software packages required
• Outstanding computer skills in Excel, Word, PowerPoint required
• Strong communication (spoken and written), organization and presentation skills
• Proven time management skills and awareness of project management methods

• Bachelor’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree

• Graduate degree in a quantitative field a plus
• Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred
• Prior consumer risk management experience preferred
• Wireless / Telecom experience
• At least 18 years of age
• Legally authorized to work in the United States

• 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, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives.
  
  And since we are ALL owners, EVERY employee at T‑Mobile is eligible for an Annual Stock Grant. For information about T‑Mobile’s amazing benefits, check out

Travel:
No

DOT Regulated Position:
No

Safety Sensitive Position:
No

T‑Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age,…