<p><strong>What role you will play in team:</strong> You will contribute to a team focused on data-driven credit risk management solutions, leveraging analytical skills to support client engagements.</p><p><strong>What you will do:</strong> You'll perform data analysis, develop reports, and contribute to the creation of credit risk models using advanced analytical techniques.</p><p><strong>Key responsibility:</strong><ul><li>Perform data analysis using various statistical techniques.</li><li>Develop and maintain credit risk models using data-driven approaches.</li><li>Prepare reports summarizing findings and insights.</li><li>Support the development of new analytical tools and methods.</li><li>Collaborate with other team members on client engagements.</li><li>Ensure data quality and accuracy.</li><li>Stay updated on advancements in data analytics and credit risk management.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>1-2 years of experience in data analysis or a related field.</li><li>Proficiency in programming languages (e.g., SQL, Python, R).</li><li>Strong understanding of statistical modeling and data visualization.</li><li>Excellent analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for growth and development in a dynamic environment.</li><li>Exposure to cutting-edge technologies and methodologies.</li><li>Mentorship and support from experienced professionals.</li></ul></p><p><strong>A Day in the Life:</strong> A day might involve data cleaning, model building, report generation, meetings with team members to discuss findings, and exploring new techniques.</p>