<p><strong>What role you will play in team:</strong> You'll be a core member of our data science team, focusing on developing and implementing machine learning models for fraud detection and risk management. </p><p><strong>What you will do:</strong> You will build, train, and deploy machine learning models to identify and mitigate financial risks. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and anomalies.</li><li>Collaborate with other data scientists and engineers.</li><li>Monitor model performance and make adjustments as needed.</li><li>Stay current on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Experience with programming languages like Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Knowledge of financial modeling and risk management.</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement in a global financial institution.</li><li>Mentorship and training programs.</li><li>Collaborative work environment.</li><li>Health and wellness programs.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day developing, testing, and deploying machine learning models, analyzing results, collaborating with colleagues, and keeping abreast of the latest developments in the field.</p>