<p><strong>What role you will play in team:</strong> You will use your data science expertise to develop advanced analytical models for credit risk assessment and management.</p><p><strong>What you will do:</strong> You will build, test, and deploy machine learning models to improve credit risk prediction and decision-making.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced analytical models for credit risk assessment and management.</li><li>Develop and deploy machine learning models for predicting credit risk.</li><li>Conduct model validation and backtesting.</li><li>Monitor model performance and make necessary adjustments.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings and recommendations to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in Data Science, Statistics, or a related field.</li><li>3+ years of experience in developing and deploying machine learning models.</li><li>Proficiency in Python or R.</li><li>Experience with large datasets.</li><li>Excellent communication and presentation skills.</li><li>Understanding of credit risk management principles.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>A collaborative and innovative work environment.</li><li>Health insurance and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> Your day involves data analysis, model building, testing, and collaboration with other data scientists and business stakeholders to improve credit risk prediction accuracy.</p>