<p><b>What role you will play in team:</b> You'll be part of a team building and deploying machine learning models for risk management and fraud detection.</p><p><b>What you will do:</b>  This role involves working with large financial datasets, building predictive models, and presenting insights to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for risk management and fraud detection.</li><li>Analyze large financial datasets to identify trends and patterns.</li><li>Evaluate model performance and make adjustments as needed.</li><li>Communicate findings to stakeholders, including technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field.</li><li>Experience with statistical modeling and machine learning.</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative work environment.</li><li>Comprehensive health insurance.</li><li>Retirement plan options.</li></ul></p><p><b>A Day in the Life:</b>  A day involves data analysis, model building, model evaluation, collaboration with team members, and presenting findings to senior management.</p>