Lead - Credit Risk Model Developement - Wholesale Portfolio

Job Overview:

We are seeking an experienced Lead Model Developer with exceptional expertise in credit risk modeling, especially the wholesale portfolio (banks, corporate, specialized lending, real estate, non-banking).

- The ideal candidate will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across wholesale portfolios.

Position Details:

Location : Pan India

Employment Type : Full-time

Key Responsibilities :

- Lead end-to-end development of advanced credit risk models, including PD, EAD, LGD models compliant to IRB Standards

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

- Design, build, calibrate and implement robust credit risk models across wholesale portfolios with rigorous User Acceptance Testing (UAT)

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

Develop comprehensive technical documentation including:

- Model documentation

- Business Requirements Documents (BRD)

- Validation reports

- Regulatory compliance documentation

- 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:

- 2-10+ years of hands-on experience in credit risk model development

- Proven expertise in modeling across wholesale/LDP credit portfolios

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

- Strong knowledge of capital models (IRB approach)

- Good to have a understanding of IFRS9 and CECL regulatory frameworks

- 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 machine learning and advanced statistical modeling techniques

- Knowledge of Basel regulatory requirements

Technical Skills:

- Model Development: PD, LGD, EAD

- Programming: SAS, Python, R, SQL

- Regulatory Knowledge: IRB (must), Good to have (IFRS9, CECL)

- Data Preprocessing / Statistical Modeling / Machine Learning Techniques

Education Qualificaiton:

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