<p><strong>What role you will play in team:</strong> You'll join a team focused on extracting insights from financial data to support investment decisions.</p><p><strong>What you will do:</strong> You'll build and deploy machine learning models, work with large datasets, and contribute to the development of new analytical techniques.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for financial data analysis.</li><li>Clean, process, and analyze large financial datasets.</li><li>Collaborate with investment professionals to develop data-driven investment strategies.</li><li>Communicate findings clearly and effectively through reports and presentations.</li><li>Stay updated on the latest advancements in machine learning and financial modeling.</li><li>Contribute to the improvement of existing data analysis processes.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proficiency in Python or R programming language.</li><li>Familiarity with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Understanding of financial markets and investment principles (a plus).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth within a global organization.</li><li>Mentorship opportunities from experienced data scientists.</li><li>Access to cutting-edge technologies and resources.</li><li>Collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data cleaning, model building, experimentation, testing, and collaboration with colleagues and stakeholders.</p>