Risk Quantitative Manager

At Regions, the Risk Quantitative Manager oversees and leads ongoing development, back testing and refinement of quantitative based models for risk rating and loss forecasting.
Bachelor's degree in Statistics, Economics, Engineering or related
Seven (7) years' experience in econometrics, mathematical finance, or statistical methods
This position is exempt from timekeeping requirements under the Fair Labor Standards act and is not eligible for overtime pay.
Supervisory experience
Additional Preferences:
Significant experience in advanced defaultand recovery methodologies
Solid grounding in statistics: linear/non-linearregression, hazard rate models, optimization, etc.
Scorecard development experience andknowledge of rating agency approaches
Basel II/III
Knowledge of vendor models such as RiskCalc,CreditEdge, Kamakura, etc.
SAS, R, VBA Script, SQL, C
Solid understanding of financial ratios
Ability to manage multiple projects
Excellent writing, communication andpresentation skills

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