Sr Analyst, Credit Risk Mgmt

T-MOBILE USA, Inc.; Frisco (TX); On-site; USD 84,600 - 152,600; Full time

Benefits offered by this job

Annual stock grants

401(k)

Flexible spending account

Paid time off

Medical, dental, and vision insurance

Job summary

T-MOBILE USA, Inc. is seeking a Senior Analyst for their Credit Risk Management team in Frisco, Texas. The ideal candidate will have over 5 years of quantitative analytic modeling experience and a strong educational background in relevant fields.

Your role will involve applying statistical methods to analyze credit policies, collaborating with team members, and developing financial models that sway critical business decisions. We offer competitive compensation and a comprehensive benefits package.

Qualifications

• 5+ years of quantitative analytic modeling experience or comparable process management experience.
• BA/BS in a relevant degree required.
• Basic proficiency in SQL, Python, R or other statistical software packages required.

Responsibilities

• Apply statistical segmentation techniques to identify new opportunities.
• Conduct qualitative and quantitative analysis of credit policies.
• Develop predictive financial and analytical models.

Skills

Quantitative analytic modeling experience

Project management

SQL

Python

R

Excel

Communication skills

Presentation skills

Education

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

Tools

SAS

Job description

At T‑Mobile, we invest in you! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package – this is Total Rewards. Employees enjoy multiple wealth‑building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year‑round money coaches.

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 wear multiple hats. Your analytical prowess, project management finesse, and outstanding presentation skills will drive our success.

Collaborate seamlessly with a talented group of analysts, identify groundbreaking credit segmentation opportunities through statistical methods, and enhance credit decision processes, policies, collections strategies, and fraud prevention measures. This role extends beyond analysis – you’ll be an integral part of the Credit Risk Management team, working hand‑in‑hand with business partners. Together, we’ll deploy, analyze, and track new credit strategies, manage risk, and shape the future of our credit landscape.

Responsibilities

• 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 relevant statistical methodologies, including trend and regression analysis
• Participate in and perform analysis of new data and statistical products by external vendors
• Perform loss forecasting analysis
• Extract, process and transform data from multiple disparate sources; analyze credit bureau data and alternative credit data
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Qualifications – Minimum Required

• 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

Education – Minimum Required

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

Qualifications – Desired

• 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

Travel: No

DOT Regulated: No
Safety Sensitive Position: No

Base Pay Range: $84,600 – $152,600
Corporate Bonus Target: 10%

The pay range above is the general base pay range for a successful candidate in the role. The actual pay will be based on various factors such as work location, qualifications, and experience, so the starting pay will vary within this range.

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. To find the pay range for this role based on hiring location, click here.

At T‑Mobile, our benefits exemplify the spirit of One Team, Together! Full and part‑time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays – which total about 4 weeks for new full‑time employees and about 2.5 weeks for new part‑time employees annually – 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, and voluntary long‑term care insurance. Eligible employees can also receive mobile service and home internet discounts, pet insurance, and access to commuter and transit programs. To learn about T‑Mobile’s benefits, visit www.t‑mobilebenefits.com.

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.

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.