<p><b>What role you will play in team:</b> You'll be an integral part of a data-driven credit risk team, leveraging your analytical skills to improve decision-making.</p><p><b>What you will do:</b> You'll work with large datasets to identify patterns, build predictive models, and contribute to the development of credit risk strategies.</p><p><b>Key responsibility:</b><ul><li>Cleanse, transform, and prepare large datasets for analysis.</li><li>Develop and implement data-driven credit risk models.</li><li>Analyze data to identify trends and patterns affecting credit risk.</li><li>Collaborate with other analysts to improve model accuracy and effectiveness.</li><li>Prepare reports and presentations summarizing findings and recommendations.</li><li>Stay abreast of new data analysis techniques and industry best practices.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Statistics, Data Science, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with SQL and database management systems.</li><li>Knowledge of statistical modeling and machine learning techniques.</li><li>Excellent communication and presentation skills.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Exposure to cutting-edge technologies.</li><li>Work-life balance initiatives.</li><li>Health insurance and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b> A day will typically involve working with large datasets, building models, writing code, analyzing results, and communicating findings to team members.</p>