<p><b>What role you will play in team:</b> You will work with a team of data scientists to develop and implement machine learning models for risk management and fraud detection.</p><p><b>What you will do:</b>  You will contribute to building predictive models, designing and deploying machine learning solutions to address business needs, and maintain model accuracy over time.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk management.</li><li>Perform feature engineering and selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate results and insights to stakeholders.</li><li>Work with large and complex datasets.</li><li>Maintain and update existing models.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in statistics, computer science, or a related field.</li><li>Experience with machine learning algorithms.</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies such as Hadoop or Spark.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication 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>Work from office.</li><li>Performance-based bonuses.</li></ul></p><p><b>A Day in the Life:</b> A typical day consists of model development, data analysis, collaboration with the team, and presenting findings to stakeholders.</p>