<p><strong>What role you will play in team:</strong> Analyze large datasets to support credit risk assessment and management, providing insights to inform decision-making.</p><p><strong>What you will do:</strong> Extract, clean, and analyze credit risk data using various statistical techniques and tools.</p><p><strong>Key responsibility:</strong><ul><li>Extract, clean, and transform large datasets.</li><li>Conduct statistical analysis to identify trends and patterns.</li><li>Develop and maintain dashboards and reports.</li><li>Collaborate with credit risk professionals to provide insights.</li><li>Support the development and validation of credit risk models.</li><li>Utilize data visualization techniques to communicate findings.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, or a related field.</li><li>1-2 years of experience in data analysis (preferred).</li><li>Proficiency in SQL, Python, or R.</li><li>Experience with data visualization tools (Tableau, Power BI).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and training.</li><li>Collaborative and innovative work environment.</li><li>Access to cutting-edge technologies and tools.</li><li>Health insurance, paid time off, retirement plan.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves extracting, cleaning, and analyzing data, developing dashboards, and collaborating with credit risk professionals to provide insights.</p>