<p><b>What role you will play in team:</b> You will be a key member of the data science team, focusing on developing and implementing advanced analytical models for credit risk management.</p><p><b>What you will do:</b> Design, develop, and deploy predictive models for credit risk, analyze large datasets, and collaborate with stakeholders to improve risk assessment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced analytical models for credit risk prediction.</li><li>Analyze large and complex datasets to identify patterns and insights.</li><li>Collaborate with business stakeholders to define model requirements and interpret results.</li><li>Develop and maintain model documentation and reports.</li><li>Stay updated on the latest advancements in data science and machine learning.</li><li>Contribute to the development of innovative solutions for credit risk management.</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>3-5 years of experience in data science, with a focus on credit risk (preferred).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms and model development.</li><li>Excellent communication and presentation skills.</li><li>Experience working with large datasets and cloud computing platforms (e.g., AWS, Azure).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Challenging and rewarding work environment.</li><li>Access to cutting-edge technology and tools.</li><li>Opportunities to collaborate with leading experts in the field.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data analysis, model development, collaboration with stakeholders, and communication of findings.</p>