<p><b>What role you will play in team:</b> Analyze large datasets to identify patterns and trends related to credit risk. You’ll contribute to the development and improvement of our risk models.</p><p><b>What you will do:</b> You will perform data cleaning, transformation and analysis using SQL and Python. You’ll build predictive models to assess credit risk and support decision-making.</p><p><b>Key responsibility:</b><ul><li>Clean, transform, and analyze large datasets using SQL and Python.</li><li>Develop and maintain credit risk models.</li><li>Build predictive models to assess credit risk.</li><li>Develop and maintain data visualization dashboards.</li><li>Communicate findings to stakeholders.</li><li>Collaborate with other teams to improve data quality.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, computer science, or related field.</li><li>Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional development</li><li>A challenging and rewarding work environment</li></ul></p><p><b>A Day in the Life:</b> Your day will involve data analysis, model building, and collaboration with cross-functional teams. You’ll use your technical skills to impact critical business decisions.</p>