<p><b>What role you will play in team:</b> You'll be a key member of our data science team, working on projects related to risk management and fraud detection.</p><p><b>What you will do:</b>  You will be developing and implementing machine learning models to improve our risk management processes.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk assessment.</li><li>Perform data analysis to identify patterns and trends.</li><li>Collaborate with business stakeholders to understand their needs and translate them into data science solutions.</li><li>Communicate findings and recommendations to both technical and non-technical audiences.</li><li>Develop and maintain data pipelines.</li><li>Ensure data quality and integrity.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or 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 (e.g., classification, regression).</li><li>Strong understanding of statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Hybrid work arrangement.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data analysis, model development, collaboration with team members, and presentations to stakeholders on your findings.</p>