<p><b>What role you will play in team:</b>  You'll be part of a team focused on leveraging data to improve operational efficiency and risk management.</p><p><b>What you will do:</b> You will be building and deploying predictive models using machine learning techniques to solve complex business problems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for risk management and fraud detection.</li><li>Perform data analysis and visualization to communicate findings.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Stay up-to-date on the latest developments in machine learning.</li><li>Document model development and deployment processes.</li><li>Present findings to stakeholders.</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>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Excellent communication and presentation skills.</li><li>Experience with large datasets.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits.</li><li>Opportunities for career growth and development.</li><li>A challenging and rewarding work environment.</li><li>Global career opportunities.</li><li>Health insurance.</li></ul></p><p><b>A Day in the Life:</b> Data analysis, model building, collaboration, and communication of insights.</p>