<p><strong>What role you will play in team:</strong>Validate and ensure the accuracy and effectiveness of credit risk models used for lending decisions.</p><p><strong>What you will do:</strong>Independently validate credit risk models using statistical techniques, ensuring compliance with regulatory requirements.</p><p><strong>Key responsibility:</strong><ul><li>Independently validate credit risk models used in lending decisions.</li><li>Apply statistical techniques to assess model accuracy and performance.</li><li>Document model validation processes and findings in detail.</li><li>Identify and communicate model limitations and risks to stakeholders.</li><li>Ensure compliance with regulatory requirements for model validation.</li><li>Collaborate with model developers to improve model accuracy and performance.</li><li>Maintain comprehensive documentation of validation activities.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, Finance, or a related quantitative field.</li><li>1-2 years of experience in credit risk model validation or a related field.</li><li>Strong statistical modeling and programming skills (e.g., SAS, R, Python).</li><li>Understanding of credit risk management principles and regulatory requirements.</li><li>Excellent communication and documentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Dynamic and collaborative work environment.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong>Expect to spend your day working independently on model validation, using statistical software and working with large datasets.</p>