<p><b>What role you will play in team:</b> Provide data-driven insights to support credit risk management decisions.  Analyze large datasets to identify trends and patterns.</p><p><b>What you will do:</b>  Collect, clean, and analyze credit risk data to support credit risk management decisions.</p><p><b>Key responsibility:</b><ul><li>Collect and clean large datasets of credit risk data.</li><li>Perform data analysis using various statistical and machine learning techniques.</li><li>Develop dashboards and visualizations to communicate insights to stakeholders.</li><li>Support the development and implementation of credit risk models.</li><li>Identify and communicate key risk indicators.</li><li>Collaborate with other teams to improve data quality and analysis.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>0-1 year of experience in data analysis.</li><li>Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li><li>Understanding of statistical concepts and methods.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Mentorship opportunities from experienced professionals.</li><li>Flexible work arrangements.</li><li>Performance-based bonuses.</li></ul></p><p><b>A Day in the Life:</b> A day involves querying databases, analyzing data, creating visualizations, and collaborating with team members to communicate results and support decision-making.</p>