<p><strong>What role you will play in team:</strong>  Contribute to building and improving our fraud detection system using machine learning techniques.</p><p><strong>What you will do:</strong> Develop and deploy models to identify and prevent fraudulent activities, collaborate with security and engineering teams.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Work with large, complex datasets to identify patterns and anomalies.</li><li>Evaluate model performance and make necessary adjustments.</li><li>Collaborate with security and engineering teams.</li><li>Stay updated on the latest advancements in fraud detection techniques.</li><li>Document and communicate findings clearly and concisely.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Computer Science, or related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., anomaly detection).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration 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>Challenging and impactful work.</li><li>Flexible work schedule.</li><li>A collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong>  Focuses on building, testing, and deploying machine learning models for fraud detection, collaborating with security and engineering teams to integrate them into the system.</p>