<p><strong>What role you will play in team:</strong>Develop and implement machine learning models to support financial risk assessment and market analysis.</p><p><strong>What you will do:</strong>You will work on projects that leverage advanced analytics to provide actionable insights to clients and internal stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for financial applications</li><li>Work with large financial datasets</li><li>Perform feature engineering and model selection</li><li>Evaluate model performance and make improvements</li><li>Collaborate with other data scientists and engineers</li><li>Communicate findings and insights effectively</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science)</li><li>Experience with programming languages such as Python or R</li><li>Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow)</li><li>Strong understanding of statistical modeling</li><li>Excellent communication and presentation skills</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits</li><li>Opportunities for career advancement</li><li>Work on challenging and impactful projects</li><li>A collaborative and supportive work environment</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> A typical day would involve working with financial data, building and testing models, collaborating with other team members, and presenting your findings to stakeholders.</p>