Remotely
excelpythonrpredictive analyticsdatapivot tablesstatistical modelsdecision tree
Job Description
📋 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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