Jobs

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:

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

• Master's degree and + 5 years' in quantitative areas such as Statistics, Mathematics, Economics, Operation Research or Computer Engineering with course works in Statistics
• 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
• A "can-do" attitude and the initiative to identify business issue and propose and develop modeling solutions to the problems.
• Familiarity with major credit bureau data attributes
• Strong verbal communication, presentation and writing skills
• Fresh Ph.D. graduates with exposure in credit risk modeling are also encouraged to apply

www.t-mobile.com/jobs and reference Req #151166. EOE.