Lead Model Developer/Validator

Job Description

Job Overview: We are seeking an experienced Lead Model Developer/Validator with exceptional expertise in credit risk modeling with primary focus on IFRS/CECL 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 Impairment models compliant with IFRS9/ CECL Standards 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 CECL/IFRS9 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 Programming: SAS, Python, R, SQL Regulatory Knowledge: IRB, IFRS9, CECL Statistical Modeling Data Preprocessing Machine Learning Techniques