<p><b>What role you will play in team:</b> You will be a key member of a team focused on developing and implementing machine learning models for financial risk management. </p><p><b>What you will do:</b> Build and deploy models to predict financial risk and improve decision-making.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for financial risk management.</li><li>Perform statistical analysis and data mining.</li><li>Communicate findings to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Work with large datasets using big data technologies.</li><li>Stay up-to-date on the latest machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</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>Knowledge of financial markets.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working with large financial datasets, building and evaluating machine learning models, and collaborating with colleagues.</p>