<p><strong>What role you will play in team:</strong> You will be a key member of our analytics team, contributing to the development and implementation of cutting-edge machine learning models for risk assessment.</p><p><strong>What you will do:</strong> You will work on real-world financial data, building and testing models, and collaborating with stakeholders to deliver actionable insights.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for credit risk assessment.</li><li>Perform data analysis and visualization to identify trends and patterns.</li><li>Collaborate with other data scientists and stakeholders to deliver projects.</li><li>Stay up-to-date with the latest advancements in machine learning and data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer 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 data visualization tools such as Matplotlib or Seaborn.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work in a collaborative and supportive environment.</li><li>Chance to make a significant impact on the financial industry.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working on data cleaning, model development, testing, and collaborating with colleagues to refine models. You'll spend time reviewing research and staying abreast of industry best practices. </p>