<p><strong>What role you will play in team:</strong> You will be a part of a team analyzing large datasets of stock market data to identify trends, patterns, and insights that can inform investment decisions.</p><p><strong>What you will do:</strong> Collect, clean, and analyze data, develop predictive models, and create visualizations to communicate findings to stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Collect and clean large datasets of stock market data from various sources.</li><li>Develop and apply statistical and machine learning models to identify trends and patterns.</li><li>Create data visualizations to communicate insights clearly and effectively.</li><li>Develop and maintain databases and data pipelines.</li><li>Collaborate with other analysts and stakeholders to share findings and insights.</li><li>Keep abreast of the latest advancements in data analytics and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, or a related field.</li><li>2-4 years of experience in data analysis and machine learning (preferred).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with SQL and database management.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities to work on cutting-edge projects.</li><li>Collaborative and innovative work environment.</li><li>Professional development opportunities.</li><li>Health insurance.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve cleaning and preparing data, building predictive models, creating visualizations, attending team meetings, and presenting results to stakeholders.</p>