<p><strong>What role you will play in team:</strong> You will be a vital member of our team, developing and implementing machine learning models to improve risk management and fraud detection.</p><p><strong>What you will do:</strong>  You will use your expertise in data science to identify patterns and anomalies in financial data.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to improve risk management and fraud detection.</li><li>Analyze large datasets to identify patterns and anomalies.</li><li>Collaborate with stakeholders to understand business requirements.</li><li>Develop and maintain data pipelines.</li><li>Communicate findings and recommendations to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>Experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Work in a challenging and rewarding environment.</li><li>Hybrid work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day may involve building and testing machine learning models, analyzing data, collaborating with colleagues, and presenting findings to management.</p>