<p><strong>What role you will play in team:</strong> Support senior analysts in developing and maintaining credit risk models using statistical and machine learning techniques.</p><p><strong>What you will do:</strong> Assist with data collection, cleaning, and analysis.  Contribute to the development and validation of credit risk models.</p><p><strong>Key responsibility:</strong><ul><li>Assist in collecting, cleaning, and preparing data for credit risk modeling.</li><li>Develop and test credit risk models under the guidance of senior analysts.</li><li>Validate credit risk models to ensure accuracy and reliability.</li><li>Document model development and validation processes.</li><li>Contribute to the ongoing improvement of credit risk models.</li><li>Learn and apply advanced statistical and machine learning techniques.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Economics, or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in statistical software (e.g., R, Python).</li><li>Understanding of statistical modeling techniques.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Exposure to real-world credit risk modeling.</li><li>Opportunity to learn from experienced professionals.</li><li>Mentorship and guidance from senior analysts.</li><li>Networking opportunities.</li><li>Potential for full-time employment upon graduation.</li></ul></p><p><strong>A Day in the Life:</strong>  A day may involve cleaning data, running statistical models, and collaborating with your team to improve the accuracy of credit risk predictions.</p>