<p><strong>What role you will play in team:</strong> Contribute to a team building innovative solutions for financial risk management using advanced analytics.</p><p><strong>What you will do:</strong> Develop and implement machine learning models to improve risk assessment and prediction accuracy.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for risk prediction.</li><li>Conduct statistical analysis and data mining to identify risk factors.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Communicate findings and recommendations clearly and concisely.</li><li>Stay updated on the latest advancements in machine learning and risk management.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in Data Science, Statistics, or related field.</li><li>Proficiency in Python and R programming languages.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and inclusive work environment.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong>  Involves analyzing data, building models, collaborating with team members, refining algorithms, and discussing results with stakeholders to contribute towards effective risk management.</p>