<p><b>What role you will play in team:</b> You will be a crucial member of our quantitative team focusing on credit risk. You'll design, develop, and implement advanced statistical models to assess and manage credit risk.</p><p><b>What you will do:</b> You’ll apply your expertise in statistical modeling, machine learning, and data analysis to build innovative solutions for credit risk challenges.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced statistical models for credit risk assessment and prediction.</li><li>Perform model validation, backtesting, and performance monitoring.</li><li>Analyze large datasets to identify patterns and trends related to credit risk.</li><li>Collaborate with other teams to integrate models into credit risk management systems.</li><li>Stay abreast of the latest advancements in quantitative finance and machine learning.</li><li>Document and present findings to senior management.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in statistics, mathematics, finance, or a related quantitative field.</li><li>1-2 years of experience in quantitative finance or a related field.</li><li>Proficiency in statistical programming languages (R, Python).</li><li>Strong understanding of statistical modeling techniques and machine learning algorithms.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Experience with large datasets and data visualization tools.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Challenging and intellectually stimulating work environment.</li><li>A culture of innovation and collaboration.</li></ul></p><p><b>A Day in the Life:</b>  Your day could involve building and testing models, analyzing data, collaborating with colleagues, and presenting your findings.</p>