<p><strong>What role you will play in team:</strong> Develop and implement advanced analytical models to assess and manage credit risk, improving the accuracy of credit scoring.</p><p><strong>What you will do:</strong> Design and develop predictive models using machine learning techniques to improve credit risk assessment processes.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced analytical models for credit risk assessment.</li><li>Design and build predictive models using machine learning techniques.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Evaluate model performance and make recommendations for improvements.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings and recommendations effectively.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD degree in Statistics, Data Science, or related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with large datasets and big data technologies.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Highly competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and innovative work environment.</li><li>Health and wellness benefits.</li></ul></p><p><strong>A Day in the Life:</strong> You'll build and refine machine learning models, analyze data, and collaborate with colleagues to improve credit risk management.</p>