T-Mobile Credit Risk Manager - Strategy in Overland Park, Kansas
Credit Risk Manager - Strategy
KS502-KS-Headquarters, Building 6160 OP
As a Manager 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 partnerships/relationships with key business partners.
You will be leading projects or initiatives to identify new credit segmentation opportunities to drive enhancements to our credit decision process and policies. You will work closely with the Credit Risk Management team, the Financial Services organization, and corporate functional teams developing new product concepts or strategies to help manage risk.
You must be able to manipulate large amounts of data, extract key insights from the data using statistical concepts, and then clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will manage projects at various stages from idea or hypothesis generation to development and implementation, including being responsible for project management plans and timelines. You will be expected to provide leadership at the concept and process level to guide projects and initiatives to completion.
This is an individual contributor role and does not manage people.
6160 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.
Extract and analyze data from multiple disparate sources and data with varying degrees of quality
Utilize statistical segmentation techniques to identify new opportunities
Perform complex qualitative and quantitative analysis of credit polices to pursue specific financial and credit goals
Develop complete business cases for new opportunities, inclusive of financial modeling and forecasts
Develop underwriting or portfolio credit decision strategies
Develop or contribute to the development of complex predictive analytical models (risk, loss, decision)
Evaluate new risk products (data-only or data-driven solutions) offered by external vendors or partners
Perform trend, regression analysis and key metric forecasting
Superior time management skills and project management fundamentals (schedule and resourcing)
T-Mobile U.S. Inc. (NASDAQ: TMUS) is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. T-Mobile’s customers benefit from its unmatched combination of value and quality, unwavering obsession with offering them the best possible service experience and undisputable drive for disruption that creates competition and innovation in wireless and beyond. Based in Bellevue, Wash., T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile, Metro by T-Mobile and Sprint. For more information please visit: http://www.t-mobile.com
5+ years of quantitative analytic modeling experience or comparable process management experience
3+ years of Credit or Collections risk management experience, preferably with a credit card issuer
BA/BS in Finance, Economics, Mathematics. Statistics or related degree
Proficiency in SAS or other statistical/analytical programming languages
Advanced skills in Excel, Word, PowerPoint, required.
Superior communication, organization and presentation skills
Master’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
Basic to intermediate proficiency in SQL, C++ or Python
Project Management experience preferred
Wireless/Telecom experience a plus.
Experience with credit risk decision engine software and platform solutions
Education – Minimum Required
- Bachelor’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
At least 18 years of age
Legally authorized to work in the United States
High School Diploma or GED