<p><b>What role you will play in team:</b> Develop and implement machine learning models to improve risk management and financial forecasting within the banking sector.</p><p><b>What you will do:</b>  Analyze financial data, build predictive models, and present findings to stakeholders in a clear and concise manner.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for risk management and financial forecasting.</li><li>Analyze large financial datasets using statistical methods.</li><li>Develop and maintain machine learning pipelines.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest advances in machine learning and financial modeling.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, finance).</li><li>2-4 years of experience in data science or a related field.</li><li>Proficiency in Python or R and experience with machine learning libraries.</li><li>Strong understanding of financial markets and risk management principles.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Professional development opportunities.</li><li>Opportunities to work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li></ul></p><p><b>A Day in the Life:</b> Your day will involve data analysis, model building, testing, and presenting your findings to stakeholders.</p>