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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
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/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 partner 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 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. Unstoppable, Together
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 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
Education/Qualifications - Required :
2-4 years experience in a qualitative analytical function
Bachelor's Degree 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
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 Required (Yes/No): No
DOT Regulated :
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $76,100 - $137,300Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location,At T-Mobile, our benefits exemplify the spirit of One Team, Together A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending
Sprachkenntnisse
- English
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