<p><b>What role you will play in team:</b> You will contribute to a high-performing team developing cutting-edge machine learning solutions for financial markets.</p><p><b>What you will do:</b> You will design, implement, and evaluate machine learning models for various tasks such as fraud detection and risk assessment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk assessment.</li><li>Clean and prepare large datasets for model training.</li><li>Evaluate model performance and tune hyperparameters.</li><li>Collaborate with engineers to deploy models into production.</li><li>Document and present your findings to stakeholders.</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>Proven experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with SQL and big data technologies (Spark, Hadoop).</li><li>Strong 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.</li><li>Mentorship from senior data scientists.</li><li>Work-life balance.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> A day will involve model development, data analysis, code writing, collaboration with teammates, and presenting your work to stakeholders.</p>