<p><strong>What role you will play in team:</strong>  Develop and maintain advanced credit risk models, providing critical insights to support credit decision-making.</p><p><strong>What you will do:</strong> Design, implement, and validate credit risk models using statistical and machine learning techniques.</p><p><strong>Key responsibility:</strong><ul><li>Develop and maintain statistical and machine learning models for credit risk.</li><li>Validate model performance and accuracy.</li><li>Analyze model results and provide insights to senior management.</li><li>Collaborate with other teams to integrate models into credit processes.</li><li>Stay abreast of advancements in credit risk modeling and regulatory changes.</li><li>Document model development, validation, and implementation processes.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, or related field.</li><li>2-4 years of experience in credit risk modeling.</li><li>Strong programming skills (e.g., Python, R).</li><li>Expertise in statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Professional development and advancement opportunities.</li><li>Dynamic and challenging work environment within a leading bank.</li><li>Contribution to a vital function of risk management.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will primarily focus on developing and testing credit risk models, using statistical software and programming languages. You will collaborate with other analysts and present your findings to senior management.</p>