<p><strong>What role you will play in team:</strong> Develop and implement advanced analytical models to improve credit risk management.</p><p><strong>What you will do:</strong> Leverage machine learning and statistical techniques to predict credit risk and optimize lending decisions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced analytical models for credit risk prediction.</li><li>Analyze large datasets to identify patterns and trends in credit risk.</li><li>Evaluate the performance of credit risk models and make recommendations for improvement.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Communicate findings and recommendations to senior management.</li><li>Stay up-to-date on the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in data science, statistics, or a related field.</li><li>3-5 years of experience in credit risk modeling or a related field.</li><li>Strong programming skills in Python or R.</li><li>Expertise in machine learning and statistical modeling techniques.</li><li>Experience working with large datasets.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Challenging and rewarding work environment.</li><li>Collaborative and innovative team culture.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong>  Building and testing models, analyzing data, collaborating with stakeholders, and presenting findings to leadership.</p>