<p><strong>What role you will play in team:</strong> Analyze large datasets to identify trends and patterns related to credit risk, providing valuable insights to inform business decisions.</p><p><strong>What you will do:</strong>Develop and maintain data pipelines, perform statistical analysis, and create visualizations to communicate findings effectively.</p><p><strong>Key responsibility:</strong><ul><li>Develop and maintain data pipelines to collect and process credit risk data.</li><li>Perform statistical analysis to identify trends and patterns in credit risk data.</li><li>Develop and maintain predictive models for credit risk assessment.</li><li>Create visualizations and reports to communicate findings to stakeholders.</li><li>Collaborate with other analysts and stakeholders to identify and solve business problems.</li><li>Stay abreast of new technologies and techniques in data analysis.</li><li>Ensure data quality and accuracy.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in data science, statistics, or a related field.</li><li>Strong programming skills (e.g., Python, SQL).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Experience with statistical modeling techniques.</li><li>Knowledge of credit risk principles (preferred).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative and innovative work environment.</li><li>Work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day includes cleaning and analyzing large datasets, building statistical models, creating visualizations, and collaborating with team members to communicate findings.</p>