<p><strong>What role you will play in team:</strong>  You will be a key member of our data science team, developing and implementing advanced analytical models to improve credit risk management.</p><p><strong>What you will do:</strong>  Build and deploy machine learning models to predict credit risk, analyze large datasets, and develop innovative solutions to enhance risk management.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for credit risk prediction.</li><li>Analyze large and complex datasets to identify trends and patterns.</li><li>Develop and maintain data pipelines for model training and deployment.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Present findings and recommendations to senior management.</li><li>Stay abreast of latest advancements in data science and machine learning.</li><li>Contribute to the development of new analytical methods and techniques.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in Data Science, Statistics, or a related field.</li><li>3-5 years of experience in data science, with a focus on credit risk.</li><li>Proficiency in programming languages like Python or R.</li><li>Experience with machine learning algorithms (e.g., logistic regression, random forest).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A challenging and rewarding work environment.</li><li>Opportunities to work on cutting-edge projects.</li><li>A strong emphasis on innovation and creativity.</li></ul></p><p><strong>A Day in the Life:</strong> Analyze data, develop models, collaborate with team members, refine algorithms and present insights to stakeholders.</p>