<p><b>What role you will play in team:</b>You will be a key member of our data analytics team, providing insights to support credit risk decisions.</p><p><b>What you will do:</b>Extract, transform, and load (ETL) data, analyze trends, and build predictive models.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain data pipelines for credit risk data.</li><li>Perform statistical analysis to identify trends and patterns.</li><li>Build and maintain predictive models for credit risk assessment.</li><li>Create insightful visualizations and reports for stakeholders.</li><li>Collaborate with credit risk teams to improve risk management processes.</li><li>Stay current on advances in data analytics and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Data Science, Statistics, or related field.</li><li>Experience with SQL, Python, or R programming languages.</li><li>Knowledge of statistical modeling and machine learning techniques.</li><li>Data visualization skills (e.g., Tableau, Power BI).</li><li>Excellent communication and problem-solving skills.</li><li>Experience with large datasets and cloud-based data platforms (a plus).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and innovative work environment.</li><li>Comprehensive health insurance.</li><li>Paid time off and holidays.</li><li>Professional development opportunities.</li></ul></p><p><b>A Day in the Life:</b>You'll spend your day working with large datasets, building and refining models, collaborating with credit risk professionals, and presenting your findings to key stakeholders.</p>