Job Description
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
Experience Level: 10+ years
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:
- 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
