<p><b>What role you will play in team:</b> Lead the development and implementation of advanced analytics solutions to improve business outcomes.</p><p><b>What you will do:</b>  Develop and implement machine learning models for risk assessment and predictive modeling within the financial services industry.</p><p><b>Key responsibility:</b><ul><li>Lead the design, development, and implementation of advanced analytics solutions.</li><li>Develop and deploy machine learning models for risk assessment and predictive modeling.</li><li>Collaborate with business stakeholders to identify opportunities for improvement.</li><li>Communicate technical findings to both technical and non-technical audiences.</li><li>Mentor junior data scientists.</li><li>Stay up-to-date with the latest advances in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD degree in a quantitative field.</li><li>5+ years of experience in data science or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, time series analysis).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance</li><li>Retirement Plan</li></ul></p><p><b>A Day in the Life:</b>  You will manage projects, collaborate with stakeholders, develop and deploy models, and mentor junior team members. You will also attend meetings and present your findings.</p>