<p><b>What role you will play in team:</b> Develop and maintain statistical models for credit risk assessment, ensuring accuracy and reliability of risk predictions.</p><p><b>What you will do:</b> Work with large datasets to build and validate credit risk models using advanced statistical techniques.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain credit risk models using statistical techniques.</li><li>Validate and backtest models to ensure accuracy and reliability.</li><li>Monitor model performance and make necessary adjustments.</li><li>Prepare reports on model performance and risk exposures.</li><li>Collaborate with other teams to integrate models into risk management systems.</li><li>Stay up-to-date on latest developments in credit risk modeling.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Mathematics, Finance, or a related field.</li><li>2-4 years of experience in credit risk modeling (Preferred).</li><li>Proficiency in statistical software (e.g., SAS, R).</li><li>Strong programming skills (e.g., Python, SQL).</li><li>Understanding of financial markets and credit risk concepts.</li></ul></p><p><b>Benefits Included:</b><ul><li>Highly competitive compensation and benefits.</li><li>Opportunities to work on challenging and impactful projects.</li><li>Mentorship from experienced professionals.</li><li>Collaborative and inclusive work environment.</li></ul></p><p><b>A Day in the Life:</b> Involves working with large datasets, developing and testing models, reviewing model performance, and collaborating with other teams on risk management processes. </p>