Credit Risk Management Analyst – Strategy

T-Mobile

Credit risk analyst optimizing T-Mobile’s telecom credit decisions, collections, and fraud strategies. Building predictive models and translating large-scale data into actionable recommendations.

Posted 9/3/2026full-timeFrisco • Kansas, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $76,100 - $137,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical analysis and data manipulation to drive credit decision processes and strategies. Proficient in developing predictive models and collaborating with cross-functional teams to enhance credit risk management.

Highest-signal resume keywords

Statistical Segmentation TechniquesPredictive Financial ModelingSAS ProficiencyCredit Risk ManagementData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisTrend AnalysisRegression AnalysisData TransformationQualitative AnalysisQuantitative AnalysisSQL ProficiencyPython ProficiencyR ProficiencyExcel Proficiency

Soft Skills

Communication SkillsOrganizational SkillsPresentation SkillsTime Management SkillsProblem-Solving Skills

Tools & Technologies

SASExcelWordPowerPointStatistical Software Packages

Industry Keywords

Credit PoliciesConsumer Risk ManagementWirelessTelecomCredit Segmentation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Utilize 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 policies to meet objectives
Develop predictive financial and analytical models using statistical methodologies, including trend and regression analysis
Analyze new data and statistical products from external vendors
Work with credit bureau and alternative credit data
Deliver work output within project timelines and agreed-upon deadlines
Identify credit segmentation opportunities to enhance credit decision processes, policies, collections strategies and fraud strategies
Partner with Credit Risk Management and other T-Mobile functional teams on deployment, analysis and tracking of credit strategies
Manipulate large datasets, extract insights and communicate actionable recommendations
Participate in projects from hypothesis generation through development and implementation
Contribute creative, credit-focused ideas and demonstrate problem-solving and ownership

Requirements

What you’ll need

2-4 years experience in a qualitative analytical function
Bachelor's Degree in 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
Superior communication (spoken and written), organization and presentation skills
Superior time management skills and awareness of project management methods
At least 18 years of age
Legally authorized to work in the United States
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

Benefits

Comp & perks

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
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
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
Commuter and transit programs
Career growth opportunities