<p><b>What role you will play in team:</b> Collaborate with a team of experienced data scientists to develop and implement machine learning models for risk management and financial forecasting.</p><p><b>What you will do:</b>  Work on real-world financial datasets to build predictive models and analyze market trends.</p><p><b>Key responsibility:</b><ul><li>Data preprocessing and feature engineering.</li><li>Model development and evaluation using various machine learning algorithms.</li><li>Model deployment and monitoring.</li><li>Collaboration with other team members.</li><li>Documentation and presentation of findings.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics).</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Strong understanding of statistical concepts.</li><li>Excellent communication and presentation 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.</li><li>Mentorship from experienced professionals.</li><li>A collaborative and inclusive work environment.</li></ul></p><p><b>A Day in the Life:</b>  A day involves working on various aspects of the machine learning lifecycle, from data preparation to model deployment and analysis.</p>