<p><b>What role you will play in team:</b> Develop data-driven insights to support credit risk management decisions, using advanced analytics techniques.</p><p><b>What you will do:</b> Collect, clean, and analyze large datasets related to credit risk, providing actionable insights to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Collect and clean large datasets relevant to credit risk management.</li><li>Develop and maintain data visualizations to track key risk indicators.</li><li>Perform statistical analysis to identify trends and patterns in credit risk data.</li><li>Develop predictive models to forecast potential credit losses.</li><li>Communicate findings and recommendations to stakeholders through reports and presentations.</li><li>Collaborate with other teams to integrate data insights into risk management processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Data Science, or a related field.</li><li>2-4 years of experience in data analysis (Preferred).</li><li>Proficiency in SQL, Python, and data visualization tools (e.g., Tableau).</li><li>Strong analytical and problem-solving skills.</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 advancement.</li><li>A collaborative and innovative work environment.</li><li>Cutting-edge technology and tools.</li></ul></p><p><b>A Day in the Life:</b> You’ll be immersed in data, using advanced techniques to identify patterns, build predictive models, and transform raw data into actionable insights for the credit risk team.</p>