Credit Risk Analytics Analyst

T-Mobile USA

Frisco (TX)

On-site

USD 76,000 - 151,000

Full time

3 days ago
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Benefits offered by this job

Stock grant
Employee stock purchase plan
401(k)
Money coaching

Job summary

T-Mobile USA is seeking an Analyst in Credit Risk Management in Frisco, TX. The role involves identifying new credit segmentation opportunities using statistical methods and building predictive models, while collaborating across teams to deploy and track credit strategies.

You'll manipulate large datasets with SQL, Python, and Excel VBA, communicating insights clearly and meeting project timelines. A strong foundation in analytics and presentation skills is essential.

Qualifications

  • Bachelor's degree plus 2 years of related work experience or equivalent.
  • Proficiency in SAS, SQL, R, Python or similar tools.
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong Excel/Office suite skills and communication abilities.

Responsibilities

  • Identify credit segmentation opportunities using statistical methods.
  • Load/transform data from multiple sources with SQL/Excel VBA, R or Python.
  • Analyze credit policies and develop predictive models.
  • Partner with Credit Risk Management and other teams on deployments.
  • Deliver insights with clear, actionable recommendations while meeting deadlines.

Skills

SAS
SQL
R
Python
Tableau
Power BI
Excel VBA
Python (pandas)
Excel
Word
PowerPoint
Communication
Organization
Presentation

Education

Bachelor's degree
Graduate degree in quantitative discipline

Job description

T-Mobile USA is seeking an Analyst in Credit Risk Management in Frisco, TX. The role involves identifying new credit segmentation opportunities using statistical methods and building predictive models, while collaborating across teams to deploy and track credit strategies.

You'll manipulate large datasets with SQL, Python, and Excel VBA, communicating insights clearly and meeting project timelines. A strong foundation in analytics and presentation skills is essential.

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