<p><b>What role you will play in team:</b> You will be a key member of our analytics team, using data to improve credit risk management strategies.</p><p><b>What you will do:</b>  You will analyze large datasets to identify trends and insights relevant to credit risk.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain data pipelines for credit risk data.</li><li>Analyze large datasets to identify trends, patterns and anomalies.</li><li>Develop and validate statistical models to predict credit risk.</li><li>Create reports and visualizations to communicate findings to stakeholders.</li><li>Collaborate with other teams to implement data-driven risk management strategies.</li><li>Stay up to date with the latest advances in data analytics and credit risk modeling.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Statistics, Mathematics, Computer Science or related field.</li><li>2-4 years of experience in data analytics, with a focus on credit risk (preferred).</li><li>Proficiency in SQL, Python, or R.</li><li>Experience with statistical modeling and machine learning techniques.</li><li>Excellent communication and visualization skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional growth and development in a fast-paced environment.</li><li>Exposure to cutting-edge technologies and methodologies.</li><li>A collaborative and innovative work culture.</li></ul></p><p><b>A Day in the Life:</b> Your day will involve working with large datasets, building models, and creating visualizations to communicate your insights to improve credit risk management.</p>