<p><b>What role you will play in team:</b> You will be part of a team analyzing large datasets to identify trends and insights related to credit risk.</p><p><b>What you will do:</b>  You will use statistical modeling techniques to assess credit risk and develop predictive models.</p><p><b>Key responsibility:</b><ul><li>Analyze large datasets to identify trends and patterns related to credit risk.</li><li>Develop and maintain credit risk models using statistical software.</li><li>Prepare reports and visualizations summarizing findings.</li><li>Collaborate with other teams to implement risk management strategies.</li><li>Ensure data quality and accuracy.</li><li>Stay up-to-date on the latest data analysis techniques and tools.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, or a related field.</li><li>1-3 years experience in data analysis or a related field.</li><li>Strong programming skills (e.g., Python, R).</li><li>Experience working with large datasets.</li><li>Excellent communication and data visualization skills.</li><li>Familiarity with credit risk management concepts.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative work environment.</li><li>Health insurance, paid time off.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b>  A day involves analyzing data, building models, creating visualizations, and communicating findings to stakeholders.</p>