Risk Modeling Manager- CCAR- C11

Posted:
8/28/2024, 2:36:18 AM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Business/ Dept. 

Objectives: 

Positions within USPB Risk Management of Citi for CCAR/DFAST stress loss model development for the international portfolios. 

Core Responsibilities: 

This position within Global Consumer Banking will develop CCAR/DFAST stress loss models for international unsecured portfolios (e.g., Credit Card, Personal loan etc.). The responsibility includes but not limited to the following activities: 

  • 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  

 

Education: 

Advanced Degree (Bachelors required, Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline. 

Skillset 

  • Role involves strong programming (SAS, R, Matlab etc) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc) skill.  

  • 5+ years analytics 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 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) 

  • At least 2 years’ experience in credit scorecard or loss forecasting model development. 

 

  • At least 2 years’ Experience in working for developed markets (US/international) 

  • Expected to manage own projects fairly independently. 

  • Ability to work effectively in cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team 

  • Present/review model results with senior management 

  • Documentation of model for internal oversight/regulatory submission 

  • Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences 

  • Work as an individual contributor 

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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