<p><b>What role you will play in team:</b> You will be a member of a team focused on developing and deploying machine learning models for fraud detection.</p><p><b>What you will do:</b> You will work with large transaction datasets to build and improve fraud detection models.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Work with large transaction datasets to identify patterns and anomalies.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in fraud detection technologies.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field.</li><li>Experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies is a plus.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance, paid time off, retirement plan etc.</li><li>Work-life balance</li></ul></p><p><b>A Day in the Life:</b> Your day may involve building and evaluating models, analyzing datasets, and collaborating with colleagues to improve fraud detection systems.</p>