<p><strong>What role you will play in team:</strong> You'll be a core member of our team, developing and implementing machine learning models to improve risk management and fraud detection within the financial services industry.</p><p><strong>What you will do:</strong>  You'll build, test, and deploy models using large financial datasets, contributing directly to the security and stability of our operations.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection and risk assessment.</li><li>Work with large financial datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers.</li><li>Maintain and update existing models.</li><li>Ensure compliance with regulatory requirements.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Experience with Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Experience with data visualization tools.</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 professional development and growth within a global financial institution.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li><li>Global career opportunities.</li></ul></p><p><strong>A Day in the Life:</strong>  Involves model development, testing, deployment, and collaboration with other team members to improve our fraud detection systems.</p>