<p><b>What role you will play in team:</b> Develop and maintain credit risk models to support lending decisions and ensure the accuracy of credit risk assessments.</p><p><b>What you will do:</b> Collaborate with other teams to implement and monitor these models, ensuring their effectiveness and efficiency.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain statistical and machine learning models for credit risk assessment.</li><li>Validate model performance and ensure accuracy.</li><li>Monitor model performance and make necessary adjustments.</li><li>Collaborate with other teams to implement models and monitor their effectiveness.</li><li>Prepare reports and presentations on model performance.</li><li>Stay updated on advancements in credit risk modeling techniques.</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>3-5 years of experience in credit risk modeling.</li><li>Proficiency in statistical software (e.g., SAS, R, Python).</li><li>Strong understanding of statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li><li>Experience with large datasets is preferred.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Professional development opportunities.</li><li>Collaborative and innovative work environment.</li><li>Health insurance and other employee benefits.</li><li>Paid time off and holidays.</li></ul></p><p><b>A Day in the Life:</b> A typical day includes model development, validation, performance monitoring, and collaboration with stakeholders.  You'll use your analytical skills to improve our credit risk management.</p>