<p><b>What role you will play in team:</b> You'll be part of a team developing and deploying machine learning models for risk management and fraud detection.</p><p><b>What you will do:</b>  You'll build, test, and deploy models using cutting-edge techniques and technologies.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for risk assessment and fraud detection.</li><li>Work with large, complex datasets to identify patterns and anomalies.</li><li>Collaborate with data scientists and engineers to build and deploy models.</li><li>Monitor model performance and make adjustments as needed.</li><li>Stay current with the latest advancements in machine learning.</li><li>Ensure compliance with relevant regulations.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, or related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning libraries (TensorFlow, PyTorch).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Comprehensive health insurance.</li></ul></p><p><b>A Day in the Life:</b> Your day will involve building and testing models, collaborating with your team, and ensuring compliance with regulations.</p>