<p><strong>What role you will play in team:</strong> Contribute to a team focused on developing predictive models for financial risk management.</p><p><strong>What you will do:</strong> You'll focus on building and implementing models to assess and mitigate financial risk.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for financial risk management.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and risk management professionals.</li><li>Document and communicate findings and insights.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., statistics, finance, computer science).</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (regression, classification).</li><li>Strong understanding of financial markets and risk management.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional development and advancement.</li><li>Stable and reputable financial institution.</li><li>Hybrid work arrangement.</li></ul></p><p><strong>A Day in the Life:</strong>  A day might involve model development, data analysis, collaboration with colleagues, and presentations of findings to stakeholders. Expect a challenging and rewarding role.</p>