Job Duties
- Work in the Risk & Analytics division of CRISIL Global Research & Analytics; the candidate will be working on risk modeling assignments including
- Development and validation of credit risk models (PD, LGD, EAD) including IFRS 9
- ICAAP (pillar 2) modeling including economic capital computation
- Analyzing the impact of macroeconomic factors on credit risk parameters to support stress testing/scenario modeling
- Build models across different portfolios (retail, business banking, commercial) for IFRS 9 including impairment/ECL modeling
- Identify, clean and use relevant data to enable model-building
- Work on high-quality model documentation in line with SR 11-7 standards
Educational Qualifications
- Master's degree in economics/econometrics/statistics or any other quantitative discipline
Skills Required
- Four years - experience in credit risk modeling or predictive analytics
- Expertise in statistical programming e.g. SAS, R, VBA, SQL; ability to work on large data sets
- Strong understanding of IFRS 9 impairment requirements and credit risk modeling
- Strong communication skills; excellent model documentation skills
- Strong problem solving skills; ability to work in teams and on unstructured assignments
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