<p><b>What role you will play in team:</b> You will work with a team of data scientists to develop and implement machine learning models to improve various business processes within the finance sector.  You'll focus on fraud detection and risk management.</p><p><b>What you will do:</b>  You'll be responsible for the entire data science lifecycle, from data acquisition and cleaning to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk management.</li><li>Clean and preprocess large financial datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers and business stakeholders.</li><li>Communicate findings and insights to stakeholders.</li><li>Ensure models meet regulatory compliance requirements.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning libraries like scikit-learn and TensorFlow.</li><li>Knowledge of financial markets and risk management principles.</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 career advancement.</li><li>A challenging and rewarding work environment.</li><li>Work from home option.</li><li>Professional development opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day could involve data exploration, model training, performance evaluation, collaboration with stakeholders, and refining models for optimal accuracy.</p>