<p><strong>What role you will play in team:</strong> You will be a key member of our team developing and implementing machine learning models for various financial applications.</p><p><strong>What you will do:</strong> This includes building models for fraud detection, risk assessment, and customer segmentation.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for various financial applications.</li><li>Collaborate with data scientists and engineers.</li><li>Work with large and complex datasets.</li><li>Ensure model accuracy, reliability, and scalability.</li><li>Stay updated on new technologies and trends.</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>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Knowledge of financial markets is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Global work environment.</li><li>Training and development programs.</li><li>Mentorship opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> Your day may involve model development, data analysis, testing, and collaboration with other team members.</p>