<p><strong>What role you will play in team:</strong> Contribute to developing and implementing machine learning models for risk management and financial forecasting.</p><p><strong>What you will do:</strong> You will work with large financial datasets to build predictive models and support decision-making.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for risk management and financial forecasting.</li><li>Perform data cleaning, feature engineering, and model selection.</li><li>Evaluate model performance and communicate findings to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with latest advances in machine learning and financial technology.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Finance, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms and libraries.</li><li>Understanding of financial markets and risk management principles.</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Work in a dynamic and challenging environment.</li><li>Global career opportunities.</li><li>Mentorship and training.</li></ul></p><p><strong>A Day in the Life:</strong> Involves data analysis, model building, testing, and collaborating with colleagues.</p>