<p><b>What role you will play in team:</b>  Support the team in utilizing data analysis to improve credit risk management processes.</p><p><b>What you will do:</b> You will extract, clean, and analyze credit risk data to identify trends and patterns.</p><p><b>Key responsibility:</b><ul><li>Extract, clean, and transform large datasets related to credit risk.</li><li>Develop and maintain data visualizations and reports to track key metrics.</li><li>Conduct statistical analysis to identify trends and patterns in credit risk data.</li><li>Support the development and improvement of credit risk models.</li><li>Collaborate with other teams to ensure data quality and accuracy.</li><li>Develop and maintain documentation for data analysis processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Data Science, or a related field.</li><li>Experience (2-4 years) in data analysis or a related field.</li><li>Proficiency in SQL, Python, or R.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong understanding of statistical methods.</li><li>Data visualization skills using tools such as Tableau or Power BI.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement and professional development.</li><li>Collaborative work environment.</li><li>Exposure to advanced data analytics techniques.</li><li>Health insurance, paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working with large datasets, conducting statistical analysis, creating reports, and collaborating with colleagues to improve credit risk management.</p>