<p><strong>What role you will play in team:</strong> Develop and implement machine learning models to improve risk management and fraud detection.</p><p><strong>What you will do:</strong> Design, build, and deploy machine learning models for real-time fraud detection.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with data scientists and engineers to build and maintain data pipelines.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Ensure model compliance with regulatory requirements.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science, statistics, or a related field.</li><li>Experience with machine learning algorithms (e.g., classification, anomaly detection).</li><li>Proficiency in Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (e.g., Spark, Hadoop).</li><li>Strong understanding of financial markets and risk management.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a challenging and rewarding environment.</li><li>Health insurance and other benefits.</li></ul></p><p><strong>A Day in the Life:</strong> You will spend your day building, testing, and deploying machine learning models, collaborating with team members, and staying updated on the latest advancements.</p>