<p><strong>What role you will play in team:</strong> Develop and validate statistical models for credit risk assessment and improve existing models.</p><p><strong>What you will do:</strong> Work with large datasets, implement model development methodologies and prepare comprehensive documentation.</p><p><strong>Key responsibility:</strong><ul><li>Develop and validate statistical models for credit risk assessment.</li><li>Work with large datasets to build and test models.</li><li>Implement model development methodologies (e.g., logistic regression, scoring).</li><li>Prepare comprehensive documentation for models.</li><li>Monitor model performance and make necessary adjustments.</li><li>Collaborate with other teams to ensure model integration.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, econometrics).</li><li>2-4 years of experience in statistical modeling.</li><li>Proficiency in statistical software (e.g., SAS, R).</li><li>Experience with credit risk modeling techniques.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and supportive work environment.</li><li>Hybrid work model.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve developing statistical models, validating model results, preparing presentations, and collaborating with other team members.</p>