<p><b>What role you will play in team:</b> You will be part of a team developing and implementing machine learning models for risk assessment and financial analysis.</p><p><b>What you will do:</b> You'll work with large datasets to build and improve models, contributing to better decision-making.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for risk assessment.</li><li>Perform data cleaning and preprocessing.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other data scientists and engineers.</li><li>Document your work and communicate your findings.</li><li>Stay up-to-date with the latest advances in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Experience with Python and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li><li>Knowledge of financial markets is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b>  A day could involve data cleaning, model building, and collaborating with colleagues on model improvement and deployment.</p>