<p><b>What role you will play in team:</b>Develop and implement quantitative models to support credit risk assessment and financial analysis.  You will collaborate with other analysts and stakeholders to ensure data accuracy and the reliability of our models.</p><p><b>What you will do:</b>You will develop, test, and validate quantitative models using statistical and machine learning techniques.  This will involve working with large datasets and complex algorithms to assess risk and make informed decisions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement quantitative models for credit risk assessment and financial analysis.</li><li>Test and validate quantitative models using rigorous statistical methods.</li><li>Work with large datasets and complex algorithms.</li><li>Collaborate with other analysts and stakeholders.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Ensure data accuracy and the reliability of our models.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD degree in a quantitative field (e.g., statistics, mathematics, finance).</li><li>3-5 years of experience in quantitative analysis.</li><li>Strong programming skills (e.g., Python, R).</li><li>Experience with statistical modeling and machine learning techniques.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Health insurance.</li><li>Paid time off.</li><li>Retirement plan contributions.</li><li>A challenging and rewarding work environment.</li></ul></p><p><b>A Day in the Life:</b>Involves developing, testing, and validating quantitative models, working with large datasets, collaborating with colleagues, and communicating findings to stakeholders. It's a challenging and rewarding role for experienced quantitative analysts.</p>