<p><b>What role you will play in team:</b> You will work as a Data Scientist in our Credit Risk team, focusing on building predictive models and insights.</p><p><b>What you will do:</b> Use advanced analytics techniques to detect fraud, predict defaults, and improve risk management strategies.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced machine learning models for credit risk prediction</li><li>Work with large and complex datasets to identify patterns and anomalies</li><li>Collaborate with other data scientists and business stakeholders</li><li>Communicate findings effectively through visualizations and presentations</li><li>Stay up-to-date on the latest advancements in machine learning and data science</li><li>Continuously improve the accuracy and efficiency of our credit risk models</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>2-4 years of experience in data science, with a focus on predictive modeling</li><li>Proficiency in Python or R, including experience with machine learning libraries</li><li>Strong understanding of statistical modeling and machine learning algorithms</li><li>Excellent communication, collaboration, and problem-solving skills</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for continuous learning and professional development</li><li>Collaborative and supportive work environment</li><li>Work from home flexibility</li><li>Access to cutting-edge technology and resources</li></ul></p><p><b>A Day in the Life:</b>  You will spend your day working on complex data sets, building and testing models, collaborating with stakeholders, and presenting your insights to help improve credit risk management.</p>