<p><b>What role you will play in team:</b> You will be part of a team that analyzes large datasets to identify credit risks and develop models to mitigate those risks.</p><p><b>What you will do:</b> You will work with various data sources to extract, clean and transform data for analysis, using advanced statistical tools.</p><p><b>Key responsibility:</b><ul><li>Extract, transform, and load (ETL) data from various sources.</li><li>Perform data quality checks and cleaning.</li><li>Develop and implement data analysis techniques for credit risk assessment.</li><li>Build and maintain credit risk models.</li><li>Create reports and dashboards to communicate findings.</li><li>Collaborate with other teams to ensure data integrity and accuracy.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, computer science, or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in SQL and data visualization tools.</li><li>Experience with statistical software (R, Python, SAS).</li><li>Excellent communication skills.</li><li>Understanding of credit risk concepts.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for growth and development.</li><li>Collaborative work environment.</li><li>Comprehensive training programs.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data wrangling, model building, reporting, and collaborating with team members.</p>