T-Mobile Analyst, Credit Risk Mgmt - Strategy in Overland Park, Kansas
Analyst, Credit Risk Mgmt - Strategy
KS503-KS-Headquarters, Building 6180 OP
As an Analyst within the Credit Risk Management team, you will be required to wear multiple hats. You must have a strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships.
You will be working independently, and/or 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 be partnering within 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.
You must be able to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will participate in projects at various stages from idea or hypothesis generation to development and/or implementation. You will be expected to contribute actively with creative and credit-focused ideas, to demonstrate problem solving skills and ownership aptitude. You will be primary statistics analyst in your projects.
6180 Sprint Pkwy
Equal Employment Opportunity
We take equal opportunity seriously—by choice.
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.
Requires competency in customer focus, change & innovation, strategic thinking, relationship building & influencing, talent management, results focus and inspirational leadership.
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 qualitatatve and quantitative analysis of credit polices 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
As America’s Un-carrier, T-Mobile USA, Inc. (NASDAQ: “TMUS”) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company’s advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com
BA/BS 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 required
Superior communication (spoken and written), organization and presentation skills
Superior time management skills and awareness of project management methods
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, C++, Python, R or other statistical software packages a plus
Prior consumer risk management experience a plus
Wireless / Telecom experience a plus
Understanding of common regression methodologies a plus
Experience working with Credit Bureau files and attributes a plus
• At least 18 years of age.• Legally authorized to work in the United States.• High School Diploma or GED.• Pre-employment background screen.