<p><strong>What role you will play in team:</strong> Develop and maintain advanced statistical models for credit risk assessment and prediction, working closely with data scientists and business stakeholders.</p><p><strong>What you will do:</strong> You'll utilize cutting-edge techniques to improve credit scoring, reduce defaults, and enhance risk management capabilities.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced statistical models for credit risk.</li><li>Conduct research on new modeling techniques and methodologies.</li><li>Validate and monitor model performance.</li><li>Collaborate with data scientists and business stakeholders to refine models.</li><li>Prepare reports and presentations on model performance and insights.</li><li>Stay abreast of industry best practices and regulatory changes related to credit risk modeling.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, or a related field.</li><li>1-2 years of experience in credit risk modeling or a related field.</li><li>Strong programming skills (e.g., Python, R).</li><li>Experience with statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for career advancement and professional development.</li><li>Collaborative and innovative work environment.</li><li>Health insurance, flexible work arrangements, paid time off, and more.</li></ul></p><p><strong>A Day in the Life:</strong> Your day focuses on model development, validation, and improvement, working collaboratively with data scientists and business users to create and maintain high-performing credit risk models.</p>