<p><b>What role you will play in team:</b> You will be a crucial member of our data science team, working on projects that leverage machine learning to improve our trading and risk management capabilities. You will work closely with engineers and business stakeholders.</p><p><b>What you will do:</b>  You will develop and deploy machine learning models, conduct data analysis, and contribute to the overall improvement of our data-driven decision-making processes.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models for various applications.</li><li>Perform data cleaning, feature engineering, and model selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to integrate models into production systems.</li><li>Communicate findings and recommendations to business stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and a comprehensive benefits package.</li><li>Excellent opportunities for career growth and development.</li><li>A supportive and collaborative work environment.</li><li>Access to leading-edge technologies and resources.</li></ul></p><p><b>A Day in the Life:</b> A day might involve data exploration, model building, experimentation, collaboration with colleagues, and refinement of existing models.</p>