<p><strong>What role you will play in team:</strong> You will be a key member of our analytics team, contributing to the development and implementation of advanced statistical models for credit risk assessment.</p><p><strong>What you will do:</strong> You will work closely with senior data scientists and business stakeholders to define and solve complex problems using data-driven insights.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced statistical models for credit risk assessment.</li><li>Conduct exploratory data analysis to identify trends and patterns.</li><li>Collaborate with other data scientists to develop and deploy machine learning models.</li><li>Prepare and present findings to business stakeholders.</li><li>Ensure data quality and integrity.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, computer science, engineering).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Strong communication and presentation skills.</li><li>Experience with large datasets and data visualization tools.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health insurance, paid time off and more.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day by reviewing the latest data insights, then collaborate with your team on model development,  present your findings to stakeholders and work on improving existing models.</p>