<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for risk management.</p><p><strong>What you will do:</strong> You will be responsible for developing and implementing machine learning models to improve risk management processes. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for risk management.</li><li>Collaborate with other data scientists and engineers to build and deploy models.</li><li>Monitor model performance and make necessary adjustments.</li><li>Communicate findings to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</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 Python or R.</li><li>Familiarity with machine learning algorithms.</li><li>Strong communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> You will start your day by reviewing the performance of your models. Then, you will work on developing and implementing new models. You will collaborate with other data scientists and engineers throughout the day. You will end your day by communicating your findings to stakeholders.</p>