<p><strong>What role you will play in team:</strong> Develop and implement advanced analytical models to assess and mitigate credit risk.</p><p><strong>What you will do:</strong> Use machine learning and statistical techniques to build predictive models for credit scoring and risk assessment.</p><p><strong>Key responsibility:</strong><ul><li>Developing and implementing machine learning models for credit risk assessment</li><li>Analyzing large datasets to identify patterns and insights</li><li>Building and deploying predictive models for credit scoring</li><li>Evaluating model performance and making improvements</li><li>Collaborating with other data scientists and business stakeholders</li><li>Communicating findings and recommendations to stakeholders</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field</li><li>2-4 years of experience in data science or a related field</li><li>Strong programming skills (Python, R)</li><li>Experience with machine learning algorithms</li><li>Excellent analytical and problem-solving skills</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 development</li><li>Challenging and rewarding work</li><li>Collaborative and innovative work environment</li><li>Health insurance and other employee benefits</li></ul></p><p><strong>A Day in the Life:</strong> Data analysis, model development, model testing, collaboration with team members, and presenting results to stakeholders.</p>