Sr Analyst, Credit Risk Management, T-Mobile

Sr Analyst, Credit Risk Management

T-Mobile

Location:

United States, Overland Park

Category:

Finance

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

Join T-Mobile's dynamic Credit Risk Management team as a Senior Analyst in Strategy & Data Science. Collaborate with a talented group of analysts to identify groundbreaking credit segmentation opportunities through statistical methods. Work on credit decision processes, policies, collections strategies, and fraud prevention measures. Handle and analyze substantial data sets to drive insights and actionable recommendations. Develop predictive analytical models and participate in projects throughout various stages.

Job Responsibility:

Apply statistical segmentation techniques to identify new opportunities
Perform sophisticated qualitative and quantitative analysis of credit policies 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

Requirements:

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

Nice to have:

Graduate degree in a quantitative field
Intermediate or higher proficiency in SAS or other statistical/analytical programming languages
Prior consumer risk management experience
Wireless/Telecom experience

What we offer:

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
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 insurance
Voluntary AD&D coverage
Voluntary accident coverage
Voluntary life insurance
Voluntary disability insurance
Voluntary long-term care insurance
Mobile service and home internet discounts
Pet insurance
Access to commuter and transit programs

Additional Information:

Job Posted:

April 05, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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