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T-Mobile USA is a national provider of wireless voice, messaging, and data services capable of reaching over 268 million Americans where they live, work, and play. In a world full of busy and fragmented lives, we at T-Mobile USA, Inc. have the idea that wireless communications can help. The value of our plans, the breadth of our coverage, the reliability of our network, and the quality of our service are meant to do one thing; help you stick together with the people who make your life come alive. That's why we're here.

The Portfolio Credit Risk Modeling Group at T-Mobile, USA is currently seeking a Statistician - Statistical Modeling who is a strong SAS user in data manipulation, and credit risk modeling development.

The incumbent is expected to utilize appropriate analytical/statistical methodology to develop and test statistical models to increase customer values.

Responsibilities:

1. Work closely with Business Manager/users to identify modeling opportunities and utilize the appropriate statistical method to develop and test models
2. Work closely with IT Staff and vendor to implement any approved modeling solutions
3. Leverage the internal data-mart to identify opportunity of increasing customer values such as segmentation scheme, customer behavior pattern etc.

Requirements:

1. Master's degree or higher in quantitative areas such as Statistics, Mathematics, Economics, Operation Research, or Computer Engineering with course works in Statistics
2. 1 to 4 years of quantitative analytic modeling experience in using SAS/STAT, particularly logistic regression technique, SAS/SQL, and or data manipulation in PC-SAS or UNIX-SAS environment
3. A "can-do" attitude and initiative attitude to identify business issue and propose and develop modeling solutions to the problems.
4. Familiar with major credit bureau data attributes
5. Strong oral communication, presentation and writing skills
6. Fresh PhD graduates with exposure in credit risk modeling are also encouraged to apply

T-Mobile USA offers a full range of comprehensive benefits, including medical, dental, vision, as well as matching 401(k), generous paid time off programs, mobile phone and service discounts, tuition reimbursement, free parking - not to mention a fun and business casual work environment.

Contact:
For information and to apply, please visit us at www.t-mobile.com/careers and reference # 151166. EOE.