Added
7 minutes ago
Type
Full time
Salary
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Related skills

r python excel pivot tables predictive analytics

πŸ“‹ Description

  • Monitor acquisition, portfolio, and collection performance across the lifecycle.
  • Assess consumer credit and fraud risk, lease terms, and channel performance.
  • Integrate diverse data sources to generate actionable insights.
  • Perform statistical analyses to identify root causes and opportunities.
  • Present findings to leadership and support strategy validation.

🎯 Requirements

  • Master of Science in a quantitative field.
  • 18 months+ experience building quantitative models in consumer lending/LTO.
  • Proficiency in Python, R, and Excel for analysis.
  • Experience with pivot tables and decision-tree modeling tools.

🎁 Benefits

  • Base salary: $127,500 – $140,000.
  • Health insurance coverage (80%).
  • 401k retirement plan.
  • Paid time off from day one.
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