<p><b>What role you will play in team:</b> You will develop and maintain statistical models to assess and predict credit risk, ensuring accuracy and regulatory compliance.</p><p><b>What you will do:</b> Build, validate, and implement statistical models to predict credit risk across different customer segments.</p><p><b>Key responsibility:</b><ul><li>Develop, validate, and implement statistical models for credit risk assessment.</li><li>Perform model monitoring and maintenance to ensure accuracy and stability.</li><li>Conduct model performance analysis and make recommendations for improvements.</li><li>Ensure model compliance with regulatory requirements.</li><li>Collaborate with other team members to improve credit risk management processes.</li><li>Document model development and validation procedures thoroughly.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Mathematics, or a related quantitative field.</li><li>2-4 years of experience in credit risk modeling.</li><li>Strong programming skills in SAS, R, or Python.</li><li>Experience with statistical modeling techniques such as logistic regression and survival analysis.</li><li>Knowledge of regulatory requirements for credit risk models.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Challenging and rewarding work environment.</li><li>Collaboration with experienced professionals in the field.</li></ul></p><p><b>A Day in the Life:</b> Building and validating statistical models, conducting model performance analysis, collaborating with colleagues, ensuring regulatory compliance, and contributing to the advancement of credit risk management practices.</p>