Risk Advisory Credit Risk Assistant Manager

Role

• Should have prior experience in model development, model validation or model monitoring with GSIBs or Indian Banks.
• Good understanding of Credit Risk Model Development steps starting with exploratory data analysis, roll rate, vintage analysis, good / bad definitions, factor selections, logistic / linear regressions including assumptions and limitations, scorecard calibration
• Credit Risk Model Validation starting from data preparation and analysis, validation tests, back testing, scenario analysis, sensitivity analysis
• Time Series analysis and forecasting
• Economic Capital computation
• Sound knowledge of IRB, IFRS 9, CECL, CCAR, SR-11-7, Scorecard, Wholesale & Retail Portfolio, credit card, CRD, CRR guidelines.
• Regulatory Guideline - PRA, EBA, FED, HKMAStrong quantitative and analytical skills with attention to detail and accuracy
• A power user of Excel spreadsheet and PowerPoint. Acumen and demonstrated knowledge to use visualization tools (, Power BI) will be advantageous
• Investment banking product knowledge and other regulatory development around IB
• SAS, Python, R
• CA / MBA(Finance) / (stats)
• Certifications in CFA / FRM Good communication skills, analytical and presentationShould have prior experience in model development, model validation or model monitoring with GSIBs or Indian Banks.
• Good understanding of Credit Risk Model Development steps starting with exploratory data analysis, roll rate, vintage analysis, good / bad definitions, factor selections, logistic / linear regressions including assumptions and limitations, scorecard calibration
• Credit Risk Model Validation starting from data preparation and analysis, validation tests, back testing, scenario analysis, sensitivity analysis
• Time Series analysis and forecasting
• Economic Capital computation
• Sound knowledge of IRB, IFRS 9, CECL, CCAR, SR-11-7, Scorecard, Wholesale & Retail Portfolio, credit card, CRD, CRR guidelines.
• Regulatory Guideline - PRA, EBA, FED, HKMA