<p><strong>What role you will play in team:</strong>  You will be part of a dynamic team responsible for analyzing and interpreting large datasets to support credit risk management decisions.</p><p><strong>What you will do:</strong> You will clean, transform, and analyze credit risk data to support the development of models and reports. You’ll also identify trends and patterns in the data.</p><p><strong>Key responsibility:</strong><ul><li>Collect, clean, and transform large datasets of credit risk data.</li><li>Analyze data using statistical techniques and tools.</li><li>Develop reports and visualizations to communicate findings to stakeholders.</li><li>Support the development and validation of credit risk models.</li><li>Identify trends and patterns in the data to improve risk management practices.</li><li>Collaborate with other team members to ensure data accuracy and consistency.</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, preferably within the financial services industry.</li><li>Strong understanding of statistical concepts and techniques.</li><li>Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent analytical, communication, and problem-solving skills.</li><li>Experience with large datasets and big data technologies (preferred).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and supportive team environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> You’ll spend your day working with credit risk data, using statistical tools to analyze and interpret the information, and preparing reports to support improved risk management decisions.</p>