<p><strong>What role you will play in team:</strong> Develop and implement machine learning models for fraud detection and risk management within the banking sector.</p><p><strong>What you will do:</strong> You will build and deploy models, monitor their performance, and continuously improve their accuracy.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Analyze financial transactions to identify patterns and anomalies.</li><li>Implement risk management strategies using machine learning techniques.</li><li>Monitor model performance and make adjustments as needed.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay updated with advancements in machine learning and financial technology.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in computer science, data science, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Understanding of financial data and risk management principles.</li><li>Excellent communication and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Exposure to the latest technologies in the banking sector.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your time building and deploying models, analyzing financial data, and ensuring the accuracy of fraud detection systems.</p>