<p><b>What role you will play in team:</b> You will be an integral member of our data science team, applying your expertise to solve complex financial problems.</p><p><b>What you will do:</b> Your work will focus on building and deploying machine learning models for risk management and fraud detection.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for risk management and fraud detection.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>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 with big data technologies (e.g., Hadoop, Spark) a plus.</li><li>Strong understanding of financial markets and risk management.</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 and advancement.</li><li>Stable and reputable financial institution.</li><li>Cutting-edge technology and tools.</li><li>Global work environment.</li></ul></p><p><b>A Day in the Life:</b> You will be working with large datasets, building and testing models, and collaborating with your team to deliver innovative solutions. Your work will have a direct impact on the bank's risk profile.</p>