<p><b>What role you will play in team:</b> Develop, implement, and maintain credit risk models used for portfolio management and regulatory reporting.</p><p><b>What you will do:</b> You will work with large datasets to create and refine models that accurately predict credit risk.</p><p><b>Key responsibility:</b><ul><li>Develop, implement, and maintain statistical models for credit risk assessment.</li><li>Perform model validation and back-testing to ensure accuracy and reliability.</li><li>Prepare reports and presentations summarizing model performance and findings.</li><li>Collaborate with other teams to integrate models into portfolio management systems.</li><li>Stay up-to-date on the latest developments in credit risk modeling.</li><li>Ensure compliance with all applicable regulations.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, finance).</li><li>Strong programming skills (e.g., Python, R).</li><li>Experience with statistical modeling techniques for credit risk.</li><li>Excellent analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with large datasets and data management techniques.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>A collaborative and innovative work environment.</li><li>Comprehensive healthcare benefits.</li><li>Generous paid time off.</li><li>Global career opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves developing and refining credit risk models, running statistical analysis, working with large data sets and collaborating with team members to deliver critical models.</p>