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The Position within Global Consumer Risk Management of Citi for CCAR/DFAST/CECL and other stress testing regulations for stress loss model development for the secured portfolios.
Job Responsibility:
Obtain and conduct QA/QC on all data required for stress loss model development
Develop segment and/or account level stress loss models
Perform all required tests (e.g. sensitivity and back-testing)
Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
Deliver comprehensive model documentation
Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
Prepare responses/presentations for regulatory agencies on all regulatory models built
Requirements:
Advanced Degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance etc.
2-4 years analytic experience
Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience in model development or (risk/marketing)- credit scorecard development, Basel modeling, stress loss preferred or credit policy analytics
Experience in end-to-end modeling 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, & model production implementation)
Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences
Nice to have:
Credible Challenge, Laws and Regulations, Management Reporting, Referral and Escalation, Risk Remediation
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