<p><strong>What role you will play in team:</strong>  You will be a key member of the model validation team, ensuring the accuracy and reliability of credit risk models used by the bank. You will work closely with model developers and risk managers.</p><p><strong>What you will do:</strong> You will independently review and validate credit risk models to ensure compliance with regulatory requirements and internal standards. You will also document your findings and present them to senior management.</p><p><strong>Key responsibility:</strong><ul><li>Independently review and validate credit risk models using statistical techniques and programming languages.</li><li>Assess model performance and identify areas for improvement.</li><li>Document validation findings thoroughly and communicate them effectively to stakeholders.</li><li>Stay up-to-date on current regulatory requirements and industry best practices.</li><li>Collaborate with model developers and risk managers.</li><li>Contribute to the development of model validation methodologies.</li><li>Present validation results to senior management and regulatory bodies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in statistics, mathematics, or a related field.</li><li>2-4 years of experience in model validation or a related field within the BFSI sector.</li><li>Strong understanding of statistical modeling and validation techniques.</li><li>Proficiency in programming languages such as SAS, R, or Python.</li><li>Excellent communication and presentation skills.</li><li>Knowledge of regulatory requirements for model validation.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement and professional development.</li><li>A dynamic and challenging work environment.</li><li>Comprehensive healthcare benefits.</li><li>Work-life balance initiatives.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves reviewing model documentation, conducting statistical analysis, and documenting findings. Collaboration with other teams is essential.</p>