<p><strong>What role you will play in team:</strong> You will work as part of a team of data scientists to develop and implement machine learning models for financial applications.</p><p><strong>What you will do:</strong>  You'll analyze large financial datasets, build predictive models, and contribute to the improvement of our risk management and investment strategies.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for financial applications.</li><li>Perform data analysis and visualization to identify trends and insights.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Stay up-to-date with the latest advancements in machine learning and data science.</li><li>Present findings and recommendations to stakeholders.</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, finance).</li><li>2-4 years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms.</li><li>Strong understanding of financial markets.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance.</li><li>Paid Time Off.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves data analysis, model building, collaboration with colleagues, and presenting findings to stakeholders.</p>