<p><b>What role you will play in team:</b> You will be part of a team analyzing large datasets to identify credit risk patterns and trends.</p><p><b>What you will do:</b>  Utilize various data analysis techniques to build predictive models and support decision-making.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and analyze large datasets</li><li>Develop and maintain predictive models for credit risk assessment</li><li>Visualize and present data findings to stakeholders</li><li>Collaborate with other data scientists and credit risk professionals</li><li>Stay current on the latest data analysis techniques and tools</li><li>Contribute to improving the overall accuracy and efficiency of credit risk models</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, computer science, or a related field</li><li>1-2 years of experience in data analysis or a related field</li><li>Proficiency in SQL, Python, or R</li><li>Experience with data visualization tools such as Tableau or Power BI</li><li>Strong analytical and problem-solving skills</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional growth and development</li><li>A supportive and collaborative work environment</li><li>Flexible work arrangements</li><li>Access to cutting-edge technology and tools</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day cleaning and analyzing data, building models, visualizing insights, and collaborating with team members. The role involves continuous learning and adaptation to new data and techniques.</p>