<p><strong>What role you will play in team:</strong> Develop and implement machine learning models to improve financial risk management.</p><p><strong>What you will do:</strong>  Analyze large datasets to identify patterns and trends, build predictive models, evaluate model performance.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for financial risk management.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Build predictive models to forecast financial risk.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other data scientists and stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, Computer Science, or related field.</li><li>Experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R programming.</li><li>Experience with large datasets and big data technologies.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> Involves in data analysis, model building, performance evaluation and collaboration with team members.</p>