<p><b>What role you will play in team:</b> You will be part of a team of data scientists developing and implementing advanced analytical models to improve credit risk management.</p><p><b>What you will do:</b> You'll leverage your expertise in machine learning and statistical modeling to build predictive models for credit risk assessment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for credit risk prediction.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Develop and maintain credit risk scoring models.</li><li>Evaluate the performance of credit risk models.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate technical findings to non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Data Science, or a related field.</li><li>3-5 years of experience in data science or a related field.</li><li>Expertise in machine learning algorithms (e.g., logistic regression, random forests).</li><li>Proficiency in programming languages (e.g., Python, R).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A collaborative and innovative work environment.</li><li>Access to cutting-edge technologies.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> Your day will consist of building, testing and implementing machine learning models, conducting data analysis, and collaborating with other data scientists and stakeholders. </p>