<p><strong>What role you will play in team:</strong> Apply advanced data science techniques to solve complex credit risk problems, supporting the development of innovative risk management solutions.</p><p><strong>What you will do:</strong> Analyze large datasets, build predictive models, and provide insights to improve credit risk assessment and decision-making.</p><p><strong>Key responsibility:</strong><ul><li>Analyze large datasets to identify patterns and trends.</li><li>Develop and validate predictive models for credit risk assessment.</li><li>Provide data-driven insights to improve credit risk management.</li><li>Develop visualizations and reports to communicate findings effectively.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Stay abreast of the latest advancements in data science and credit risk management.</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>Strong programming skills (e.g., Python, R).</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with large datasets and big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li><li>Understanding of financial markets and credit risk concepts.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities to work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance</li><li>Paid Time Off</li><li>Performance Bonus</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data exploration, model building, model validation, and collaboration with business stakeholders to deliver insightful analysis and solutions.</p>