<p><b>What role you will play in team:</b> You will contribute to building and improving machine learning models for fraud detection and risk management, collaborating with a team of experienced data scientists.</p><p><b>What you will do:</b> You will work on large datasets, developing and evaluating various machine learning models to enhance the accuracy and efficiency of our systems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and anomalies.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>A challenging and rewarding work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> Your daily tasks include data analysis, model building, collaboration, and presenting findings to enhance fraud detection capabilities.</p>