<p><strong>What role you will play in team:</strong> You will be a key member of our growing data science team, contributing to the development and implementation of machine learning models for risk management.</p><p><strong>What you will do:</strong> You'll work on various projects involving large datasets, building and deploying predictive models to improve our risk assessment processes.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for risk assessment.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Collaborate with other data scientists and engineers.</li><li>Present findings and recommendations to stakeholders.</li><li>Maintain and update existing models.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with big data technologies such as Hadoop or Spark.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home options.</li><li>Health insurance, retirement plans</li></ul></p><p><strong>A Day in the Life:</strong> Your day will involve collaborating with your team, building and refining models, analyzing data, and presenting your findings.  You'll be challenged to solve complex problems and contribute to a critical function within the bank.</p>