<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models for risk management.</p><p><b>What you will do:</b> Work closely with senior data scientists to improve existing models and develop new ones.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Model development and evaluation.</li><li>Model deployment and monitoring.</li><li>Collaboration with cross-functional teams.</li><li>Keeping 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>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Mentorship from experienced data scientists.</li><li>Exposure to cutting-edge technologies.</li><li>Work in a dynamic environment.</li></ul></p><p><b>A Day in the Life:</b>Your day may involve building, testing, or refining machine learning models. Close collaboration with team members is crucial for success. </p>