Sr Analyst, Credit Risk Management

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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 nineteenth 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.

Embark on প্ৰ 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.

• Apply statistical segmentation techniques to identify new opportunities
• Perform sophisticated qualitative and quantitative analysis of credit policies to ensure financial goalsêts are being attained
• Develop predictive financial and analytical models using appropriate statistical methodologies, including trend and regression analysis
• Participate in 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/analytic 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

Travel: No

DOT Regulated: No
Safety Sensitive Position:
No

Base Pay Range: $84,600 – $152,600
Corporate Bonus Target: 10%
This 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 releases within this range.

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…