<p><strong>What role you will play in team:</strong>  You'll be part of a team developing and implementing advanced analytical models to improve credit risk management.</p><p><strong>What you will do:</strong>  Develop and maintain predictive models, analyze large datasets, and provide insights to improve decision-making.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for credit risk prediction.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Develop and maintain predictive models for credit risk assessment.</li><li>Collaborate with business stakeholders to understand their needs and provide solutions.</li><li>Communicate findings and insights to stakeholders through reports and presentations.</li><li>Stay current 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 in data science, statistics, or a related field.</li><li>3+ years of experience in data science or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., logistic regression, random forests).</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on cutting-edge projects.</li><li>Mentorship and professional development opportunities.</li><li>Collaborative and innovative work environment.</li><li>Exposure to large-scale data sets and complex problems.</li></ul></p><p><strong>A Day in the Life:</strong>  Your day might involve coding, data analysis, model building, and collaborating with colleagues to solve complex problems. A passion for data and innovation is vital.</p>