<p><strong>What role you will play in team:</strong> Contribute to the development of advanced analytics solutions for credit risk management.</p><p><strong>What you will do:</strong> Develop and implement machine learning models for credit risk prediction and detection of fraud.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for credit risk assessment.</li><li>Perform data analysis and visualization.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on latest advancements in machine learning and data science.</li><li>Present findings and recommendations to stakeholders.</li><li>Work with large datasets and ensure data quality.</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>Experience in machine learning and statistical modeling.</li><li>Proficiency in programming languages (e.g., Python, R).</li><li>Strong data visualization skills.</li><li>Excellent communication and collaboration skills.</li><li>Experience working with large datasets.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A collaborative and innovative work environment.</li><li>Access to advanced technologies.</li><li>Health insurance</li></ul></p><p><strong>A Day in the Life:</strong> Your day involves developing algorithms, conducting experiments, and collaborating with other data scientists and engineers.</p>