<p><b>What role you will play in team:</b> You will be a key member of our team, contributing to the development and implementation of advanced analytical models for risk management.</p><p><b>What you will do:</b> You will be responsible for designing, developing, and deploying machine learning models to improve our risk assessment processes.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for risk prediction and fraud detection.</li><li>Collaborate with other data scientists and engineers to build and deploy models in a production environment.</li><li>Perform data analysis and visualization to identify trends and patterns.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning and data science.</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>Experience with various machine learning algorithms (e.g., regression, classification, clustering).</li><li>Proficiency in programming languages such as Python or R.</li><li>Strong data visualization 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>Work from home options.</li><li>Health insurance.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members, developing and testing models, analyzing data, and communicating findings to stakeholders.  You will be working on challenging problems that have a real impact on the bank.</p>