<p><b>What role you will play in team:</b> You'll be part of a dynamic team developing cutting-edge fraud detection models.</p><p><b>What you will do:</b> You'll build and deploy machine learning models to identify fraudulent transactions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for fraud detection.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Collaborate with cross-functional teams to improve fraud detection systems.</li><li>Develop and maintain documentation for machine learning models.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Data Science, Statistics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day analyzing data, building models, and collaborating with colleagues. You'll also have time for professional development and learning new skills.</p>