Finance

Sr Analyst, Credit Risk Mgmt

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As a Senior Analyst 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 and effective working relationships.

You will be working independently and/or in 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 be partnering 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 must be able to 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 as credit data expert, analytic methodology specialist and primary statistics analyst.

What you'll do in your role.

  • Utilize statistical segmentation techniques to identify new opportunities
  • Perform complex qualitative and quantitative analysis of credit polices to ensure financial goals are being attained
  • 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
  • Perform loss forecasting analysis
  • Extract, process and transform data from multiple disparate sources
  • Analyze credit bureau and alternative credit data
  • Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

The experience you'll bring.

  • 5+ years of quantitative analytic modeling experience or comparable process management experience
  • BA/BS in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required. Graduate degree in a quantitative discipline a plus
  • 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
  • Credit risk management experience preferred
  • Basic proficiency in SQL, C++, Python, R or other statistical software packages a plus
  • Prior consumer risk management experience a plus
  • Wireless / Telecom experience a
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Position details

Req ID: 137788BR

Department: Finance

Travel Required: No

Position(s) remaining: 1

Position posted for
10 days
# of candidates that have applied 21

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