<p><b>What role you will play in team:</b> You'll be a part of a team using data to improve credit risk models and strategies.</p><p><b>What you will do:</b> You'll collect, clean, and analyze large datasets to identify trends and patterns.</p><p><b>Key responsibility:</b><ul><li>Collect and clean large datasets related to credit risk.</li><li>Develop and implement data analysis techniques.</li><li>Identify trends and patterns in credit risk data.</li><li>Develop reports and visualizations to communicate findings.</li><li>Collaborate with other team members to improve credit risk models.</li><li>Stay current with advancements in data analysis and credit risk.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, or a related field.</li><li>Strong programming skills (Python, R, SQL).</li><li>Experience with data visualization tools (Tableau, Power BI).</li><li>Understanding of statistical modeling techniques.</li><li>Knowledge of credit risk concepts and methodologies.</li><li>0-1 year of experience.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and learning.</li><li>Challenging and rewarding work environment.</li><li>Ability to contribute to impactful credit risk strategies.</li></ul></p><p><b>A Day in the Life:</b> You will spend your day cleaning data, building models, visualizing results, creating reports and collaborating with colleagues.</p>