Crisil - Lead Model Developer/Validator - Corporate Credit Risk Rating

Job Overview:

We are seeking an experienced Lead Model Developer/Validator with exceptional expertise in credit risk modeling with primary focus on Internal Credit Risk Rating modeling. The ideal candidate will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across retail and wholesale portfolios.

Position Details:

Location: Pan India

Experience Level: 5-10 years

Employment Type: Full-time

Key Responsibilities:

- Lead end-to-end development and validation of advanced credit risk models, including, PD, EAD, LGD and with emphasis on Expert judgement-based PD models for Corporate, Specialised Lending and Financial Institutions.

- Conduct comprehensive data preparation, preprocessing using tools including SAS, Python, R, and SQL

- Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights

- Develop comprehensive technical documentation including:

- Regulatory compliance Model documentation

- Test plans

- Validation reports/Findings Report

- Business Requirements Documents (BRD), where applicable

- Drive continuous model improvement through:

- Identifying optimization opportunities; Implementing advanced modeling techniques; Enhancing model performance and predictive accuracy

- Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development

Required Qualifications:

- 5-10 years of hands-on experience in credit risk model development and validation

- Proven expertise in modeling across retail and wholesale credit portfolios

- Advanced proficiency in: SAS, Python, R, SQL

- Deep understanding of IFRS9 and CECL regulatory frameworks and guidance

- Exceptional analytical and problem-solving skills

- Excellent written and verbal communication abilities

Preferred Qualifications:

- Advanced degree in Statistics, Mathematics, Economics, or related field

- Professional certifications in risk management or financial modeling

- Experience with IRB modeling, machine learning/advanced statistical modeling techniques

- Knowledge of Basel regulatory guidance

Technical Skills:

- Model Development: PD, LGD, EAD, Qualitative PD Models

- Programming: SAS, Python, R, SQL

- Regulatory Knowledge: IRB, IFRS9, CECL

- Statistical Modeling

- Data Preprocessing

- Machine Learning Techniques

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