<p><b>What role you will play in team:</b>  You will be a core member of our team, developing and implementing machine learning solutions to analyze financial market data and provide insights for investment decisions.</p><p><b>What you will do:</b> You will be responsible for designing, building, and deploying predictive models using various statistical and machine learning techniques.  You will also be involved in data cleaning and feature engineering.</p><p><b>Key responsibility:</b><ul><li>Develop and implement predictive models to forecast market trends.</li><li>Analyze large datasets of financial market data.</li><li>Develop data pipelines to ingest and process data.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings and insights effectively through reports and presentations.</li><li>Stay up-to-date on the latest advancements in machine learning and financial modeling.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Finance, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, time series analysis).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative and intellectually stimulating work environment.</li><li>Work from home options.</li><li>Global exposure.</li></ul></p><p><b>A Day in the Life:</b>  A typical day would involve working with financial data, developing and testing models, collaborating with the team, and presenting insights to stakeholders.</p>