<p><strong>What role you will play in team:</strong>Develop and implement advanced analytical models to improve credit risk assessment and management.</p><p><strong>What you will do:</strong>Build and deploy machine learning models to predict credit risk, using large datasets and advanced statistical techniques.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for credit risk prediction.</li><li>Utilize large datasets and advanced statistical techniques.</li><li>Design, develop, and maintain credit risk scoring systems.</li><li>Monitor and evaluate model performance and make improvements.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date on industry best practices and new techniques.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>2-4 years of experience in credit risk or a related field.</li><li>Strong programming skills (e.g., Python, R).</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.</li><li>Opportunities for professional growth.</li><li>Collaborative work environment.</li><li>Hybrid work model.</li></ul></p><p><strong>A Day in the Life:</strong>You will work on developing and improving credit risk models, analyzing data, and presenting your findings to stakeholders.</p>