<p><strong>What role you will play in team:</strong>  You will contribute to developing and implementing machine learning models for risk management and financial forecasting. You will work collaboratively with experienced data scientists to deliver impactful results.</p><p><strong>What you will do:</strong> Develop, test, and implement machine learning algorithms. You will also be responsible for data cleaning, feature engineering, and model deployment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models.</li><li>Perform data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Model evaluation and selection.</li><li>Deployment of models into production.</li><li>Collaboration with cross-functional teams.</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>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools.</li><li>Strong 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>Mentorship and training programs.</li><li>Collaborative and innovative work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A day involves collaborating with colleagues, analyzing data, building and testing models, and contributing to the development of innovative solutions for complex financial problems.</p>