<p><b>What role you will play in team:</b> Lead the development and implementation of advanced machine learning models for risk management and fraud detection.</p><p><b>What you will do:</b> You'll be a key contributor to improving the accuracy and efficiency of our risk models.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced machine learning models for risk management and fraud detection.</li><li>Work with large datasets to identify patterns and anomalies.</li><li>Evaluate model performance and make recommendations for improvements.</li><li>Collaborate with other data scientists and engineers to build scalable solutions.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Present findings to senior management.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a quantitative field (e.g., Statistics, Computer Science, Mathematics).</li><li>5+ years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Strong experience with machine learning algorithms.</li><li>Experience with large-scale data processing.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>Challenging and rewarding projects.</li><li>Supportive and collaborative work environment.</li></ul></p><p><b>A Day in the Life:</b> Includes model building, data analysis, collaborating with engineers and other data scientists, and presenting findings.</p>