Analyst, Credit Risk Mgmt - Strategy
About The Position
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!
Requirements
- 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
- At least 18 years of age
- Legally authorized to work in the United States
Nice To Haves
- 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
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
Benefits
- Competitive base salary and compensation package
- Multiple wealth-building opportunities
- Annual stock grant
- Employee stock purchase plan
- 401(k)
- Access to free, year-round money coaches
- Medical, dental and vision insurance
- Flexible spending account
- Paid time off
- Up to 12 paid holidays
- Paid parental and family leave
- Family building benefits
- Back-up care
- Enhanced family support
- Childcare subsidy
- Tuition assistance
- College coaching
- Short- and long-term disability
- Voluntary AD&D coverage
- Voluntary accident coverage
- Voluntary life insurance
- Voluntary disability insurance
- Voluntary long-term care insurance
- Mobile service & home internet discounts
- Pet insurance
- Access to commuter and transit programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
