Credit Risk - IRB Wholesale Model Developer

Job Description As an experienced Lead Model Developer, your role will involve driving sophisticated credit risk modeling initiatives across wholesale portfolios. Your responsibilities will include: - Leading end-to-end development of advanced credit risk models such as PD, EAD, LGD models compliant with IRB Standards - Conducting comprehensive data preparation and preprocessing using tools like SAS, Python, R, and SQL - Designing, building, calibrating, and implementing robust credit risk models with rigorous User Acceptance Testing (UAT) - Collaborating with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights - Developing comprehensive technical documentation including model documentation, BRDs, validation reports, and regulatory compliance documentation - Driving continuous model improvement through optimization, implementing advanced modeling techniques, and enhancing model performance - Providing mentorship and technical guidance to junior team members to foster knowledge sharing and professional development. Qualifications required for this role include: - 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, and SQL - Strong knowledge of capital models, specifically the IRB approach - Good understanding of IFRS9 and CECL regulatory frameworks - Exceptional analytical and problem-solving skills - Excellent written and verbal communication abilities. Preferred qualifications include: - An advanced degree in Statistics, Mathematics, Economics, or a 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 required for this role include: - Model Development: PD, LGD, EAD - Programming: SAS, Python, R, SQL - Regulatory Knowledge: IRB (must), Good to have (IFRS9, CECL) - Data Preprocessing, Statistical Modeling, and Machine Learning Techniques. As an experienced Lead Model Developer, your role will involve driving sophisticated credit risk modeling initiatives across wholesale portfolios. Your responsibilities will include: - Leading end-to-end development of advanced credit risk models such as PD, EAD, LGD models compliant with IRB Standards - Conducting comprehensive data preparation and preprocessing using tools like SAS, Python, R, and SQL - Designing, building, calibrating, and implementing robust credit risk models with rigorous User Acceptance Testing (UAT) - Collaborating with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights - Developing comprehensive technical documentation including model documentation, BRDs, validation reports, and regulatory compliance documentation - Driving continuous model improvement through optimization, implementing advanced modeling techniques, and enhancing model performance - Providing mentorship and technical guidance to junior team members to foster knowledge sharing and professional development. Qualifications required for this role include: - 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, and SQL - Strong knowledge of capital models, specifically the IRB approach - Good understanding of IFRS9 and CECL regulatory frameworks - Exceptional analytical and problem-solving skills - Excellent written and verbal communication abilities. Preferred qualifications include: - An advanced degree in Statistics, Mathematics, Economics, or a 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 required for this role include: - Model Development: PD, LGD, EAD - Programming: SAS, Python, R, SQL - Regulatory Knowledge: IRB (must), Good to have (IFRS9, CECL) - Data Preprocessing, Statistical Modeling, and Machine Learning Techniques.