Job Description:
The responsibility includes but not limited to the following activities:
Qualifications:
- Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
- 7+ years' experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
- Experience with dynamics of unsecured or secured products a strong plus
- Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
- Exposure to various stress loss modeling approaches at the segment or account level preferred
- Able to communicate technical information verbally and in writing to both technical and non-technical audiences
- Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
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