<p><b>What role you will play in team:</b>Contribute to a team focused on developing and implementing innovative data-driven solutions within the finance industry.</p><p><b>What you will do:</b>You'll work closely with experienced data scientists on real-world projects, gaining practical experience in the field.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing.</li><li>Exploratory data analysis.</li><li>Feature engineering.</li><li>Model development and evaluation.</li><li>Assisting in model deployment.</li><li>Participating in team meetings and code reviews.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>0-1 year experience (internships count).</li><li>Proficiency in Python or R.</li><li>Basic understanding of statistical concepts and machine learning algorithms.</li><li>Excellent problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Comprehensive training and development programs.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement within a global firm.</li><li>Exposure to cutting-edge technologies and methodologies.</li><li>A collaborative and dynamic work environment.</li></ul></p><p><b>A Day in the Life:</b>You'll engage in data analysis, model building, learning from experienced professionals, and participating in team discussions.</p>