Job
Description
As an experienced Lead Model Developer/Validator specializing in credit risk modeling, your primary role will involve driving sophisticated credit risk modeling initiatives with a focus on Internal Credit Risk Rating modeling across retail and wholesale portfolios. Your responsibilities will include: - Leading end-to-end development and validation of advanced credit risk models such as PD, EAD, LGD, with an emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. - Conducting comprehensive data preparation and preprocessing using tools like SAS, Python, R, and SQL. - Collaborating with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights. - Developing detailed technical documentation including regulatory compliance model documentation, test plans, validation reports/findings report, and Business Requirements Documents (BRD) where applicable. - Driving continuous model improvement by identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. - Providing mentorship and technical guidance to junior team members to foster a culture of knowledge sharing and professional development. As for the qualifications required, you should have: - 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, and 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 include: - An advanced degree in Statistics, Mathematics, Economics, or a related field. - Professional certifications in risk management or financial modeling. - Experience with IRB modeling, machine learning, and advanced statistical modeling techniques. - Knowledge of Basel regulatory guidance. Your technical skills should cover areas such as: - 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. Location: Pan India Experience Level: 5-10 years Employment Type: Full-time As an experienced Lead Model Developer/Validator specializing in credit risk modeling, your primary role will involve driving sophisticated credit risk modeling initiatives with a focus on Internal Credit Risk Rating modeling across retail and wholesale portfolios. Your responsibilities will include: - Leading end-to-end development and validation of advanced credit risk models such as PD, EAD, LGD, with an emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. - Conducting comprehensive data preparation and preprocessing using tools like SAS, Python, R, and SQL. - Collaborating with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights. - Developing detailed technical documentation including regulatory compliance model documentation, test plans, validation reports/findings report, and Business Requirements Documents (BRD) where applicable. - Driving continuous model improvement by identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. - Providing mentorship and technical guidance to junior team members to foster a culture of knowledge sharing and professional development. As for the qualifications required, you should have: - 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, and 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 include: - An advanced degree in Statistics, Mathematics, Economics, or a related field. - Professional certifications in risk management or financial modeling. - Experience with IRB modeling, machine learning, and advanced statistical modeling techniques. - Knowledge of Basel regulatory guidance. Your technical skills should cover areas such as: - 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. Location: Pan India Experience Level: 5-10 years Employment Type: Full-time
