<p><b>What role you will play in team:</b>  You will be part of a team developing and implementing machine learning models for risk management and fraud detection.</p><p><b>What you will do:</b> Build and deploy machine learning models, evaluate model performance, and communicate findings to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries.</li><li>Experience with big data technologies (preferred).</li><li>Strong 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.</li><li>A collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> Could involve model building, data analysis, collaboration, performance evaluation, and staying updated on industry trends.</p>