<p><strong>What role you will play in team:</strong> You'll be contributing to the development of machine learning models for risk assessment and fraud detection within our financial services platform.</p><p><strong>What you will do:</strong> You'll work closely with engineers and other data scientists to build, test, and deploy models into production.</p><p><strong>Key responsibility:</strong><ul><li>Develop and maintain machine learning models for risk assessment and fraud detection.</li><li>Perform data analysis and feature engineering to improve model performance.</li><li>Collaborate with engineers to deploy models into a production environment.</li><li>Monitor model performance and retrain models as needed.</li><li>Stay current with the latest advancements in machine learning and financial technology.</li><li>Communicate results and findings to both technical and non-technical stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience working with large datasets.</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Comprehensive health insurance coverage.</li><li>Opportunities for career growth and professional development.</li><li>A collaborative and supportive work environment.</li><li>Generous paid time off.</li></ul></p><p><strong>A Day in the Life:</strong>  A day might include model building, data cleaning, collaborating with team members, monitoring model performance, and staying updated on the latest advancements in the field.</p>