<p><b>What role you will play in team:</b> You will be part of a collaborative team working on cutting-edge data science projects within the financial sector.  You will contribute to the development and deployment of predictive models.</p><p><b>What you will do:</b>  You will work with large datasets, using advanced statistical and machine learning techniques to build models for risk assessment, fraud detection, and algorithmic trading.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and insights to stakeholders.</li><li>Contribute to the development of new data science methodologies.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries (e.g., scikit-learn, XGBoost).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Comprehensive healthcare coverage.</li></ul></p><p><b>A Day in the Life:</b> A typical day could include data exploration, model building, model evaluation, collaboration with colleagues, and presenting your findings.</p>