<p><strong>What role you will play in team:</strong> You will be a crucial member of our team focused on leveraging machine learning to enhance our financial systems, specifically in areas of risk management and algorithmic trading.</p><p><strong>What you will do:</strong>  Develop, test, and deploy advanced machine learning models, ensuring high accuracy and reliability in a highly regulated environment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for risk management and algorithmic trading.</li><li>Work with large, complex financial datasets.</li><li>Perform rigorous model validation and testing.</li><li>Collaborate with quantitative analysts and engineers.</li><li>Ensure compliance with regulatory requirements.</li><li>Contribute to the improvement of existing machine learning infrastructure.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Proficiency in Python or Java.</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and development.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and supportive team environment.</li><li>Global career opportunities within a leading financial institution.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day building, testing, and refining machine learning models, working closely with other engineers and financial professionals.</p>