<p><strong>What role you will play in team:</strong> You will be part of a team focused on using data to improve risk management and fraud detection.  You'll work closely with other data scientists and business stakeholders.</p><p><strong>What you will do:</strong> You will develop and deploy machine learning models to identify and mitigate financial risks.  You'll work with structured and unstructured data.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for fraud detection and risk management.</li><li>Perform data analysis and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with business stakeholders to define project requirements.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Maintain data quality and accuracy.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in a quantitative field.</li><li>Experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R.</li><li>Experience working with large datasets.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Hybrid work model.</li><li>Training and development programs.</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong>  Your day may involve data analysis, model building, collaboration with team members, and presentation of findings to stakeholders.</p>