<p><strong>What role you will play in team:</strong>You will be part of a team responsible for analyzing large datasets to identify credit risk trends and patterns.</p><p><strong>What you will do:</strong>Collect, clean, and analyze credit risk data using various statistical techniques.</p><p><strong>Key responsibility:</strong><ul><li>Collect and cleanse large datasets of credit risk data.</li><li>Develop and implement data analysis models.</li><li>Identify trends and patterns in credit risk data.</li><li>Prepare reports and visualizations to communicate findings.</li><li>Collaborate with other data scientists and credit risk professionals.</li><li>Utilize statistical software for data analysis.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in statistics, mathematics, or a related field.</li><li>1-2 years of experience in data analysis or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in SQL, Python, R or other data analysis tools.</li><li>Experience with statistical modeling techniques.</li><li>Excellent data visualization skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Innovative and collaborative work environment.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong>A typical day involves data cleaning, analysis using various tools and techniques, and generating reports and visualizations to help inform credit risk strategies.</p>