<p><strong>What role you will play in team:</strong> You'll collaborate with a team of experts to solve complex business problems using cutting-edge data science techniques.</p><p><strong>What you will do:</strong> You will be responsible for building and deploying machine learning models for various financial applications.</p><p><strong>Key responsibility:</strong><ul><li>Build and deploy machine learning models for risk management, fraud detection, and customer analytics.</li><li>Cleanse and prepare data for modeling.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with stakeholders to understand business needs.</li><li>Document and communicate findings effectively.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work in a challenging and rewarding environment.</li><li>Collaborative and inclusive work culture.</li><li>Global career opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> A day could involve data cleaning, model building, testing, collaboration with colleagues, and presenting results.</p>