<p><strong>What role you will play in team:</strong>  Develop and implement sophisticated credit risk models using advanced statistical techniques.</p><p><strong>What you will do:</strong> Build and validate models, work with large datasets, improve existing models.</p><p><strong>Key responsibility:</strong><ul><li>Develop and validate statistical models for credit risk assessment.</li><li>Work with large and complex datasets.</li><li>Implement models into production systems.</li><li>Monitor model performance and make necessary adjustments.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Present findings and recommendations to senior management.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in statistics, econometrics, or a related field.</li><li>2-4 years of experience in credit risk modeling.</li><li>Proficiency in statistical programming languages (R, Python).</li><li>Experience with machine learning algorithms.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Dynamic and collaborative work environment.</li><li>Health insurance, paid time off, and other perks.</li></ul></p><p><strong>A Day in the Life:</strong> Focuses on model development, data analysis, and collaboration with other data scientists and business users.</p>