<p><b>What role you will play in team:</b> You will be part of a team that uses data science to improve credit risk models and decision-making.</p><p><b>What you will do:</b> Develop and implement advanced analytical models to predict credit risk and identify opportunities for improvement.</p><p><b>Key responsibility:</b><ul><li>Develop and implement statistical models to assess credit risk.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Develop and maintain data pipelines for credit risk modeling.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Present findings and recommendations to senior management.</li><li>Stay current on the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Experience with statistical modeling and machine learning techniques.</li><li>Proficiency in programming languages such as Python or R.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative work environment.</li><li>Access to cutting-edge technologies.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves developing and testing models, analyzing data, and collaborating with team members.</p>