Analyst, Credit Risk Mgmt - Strategy

Job Summary 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. That’s how we’re UNSTOPPABLE for our employees! Role Overview As an Analyst within the Credit Risk Management team, you will wear multiple hats. You will use your strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships. You will work independently and as part of a team of analysts to identify new credit segmentation opportunities using statistical methods, leading to enhancements to our credit decision process and policies, collections strategies, and fraud strategies. You will partner with members of the Credit Risk Management team and other functional teams in T‑Mobile for the deployment, analysis and tracking of new credit strategies to manage risk. Responsibilities Utilize statistical segmentation techniques to identify new opportunities Extract, load and transform data from multiple sources necessary for statistical, reporting and ad‑hoc analysis Perform qualitative and quantitative analysis of credit policies to meet given objectives 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 Work with credit bureau and alternative credit data Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines Education / Qualifications – Required 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 Education / Qualifications – Desired 3+ years of quantitative analytic modeling experience, credit risk management or comparable process management experience 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 At least 18 years of age Legally authorized to work in the United States Travel Travel Required (Yes/No): No DOT Regulated DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Base Pay Range $76,100 - $137,300 Corporate Bonus Target 10% Benefits 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—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—providing 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 & home internet discounts, pet insurance, and access to commuter and transit programs. Equal Opportunity Employer 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. Accommodation 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 View email address on click.appcast.io or calling View phone number on click.appcast.io. #J-18808-Ljbffr T-Mobile