<p><b>What role you will play in team:</b> You'll be a key contributor to our team, developing and implementing machine learning models for fraud detection and risk management.</p><p><b>What you will do:</b> You will work with massive datasets, build predictive models, and collaborate with engineers to deploy solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and anomalies.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with engineers to deploy models in production.</li><li>Communicate findings to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field.</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python or R and relevant ML libraries.</li><li>Experience with big data technologies.</li><li>Strong analytical and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Excellent career growth opportunities.</li><li>A dynamic and challenging work environment.</li></ul></p><p><b>A Day in the Life:</b> Your day will be a mix of data analysis, model building, collaboration, and problem-solving.</p>