<p><strong>What role you will play in team:</strong> You will be a contributing member of the data science team, working on projects related to risk management and financial modeling.</p><p><strong>What you will do:</strong> You'll develop and implement machine learning models to improve the accuracy of risk assessments and financial predictions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms.</li><li>Perform statistical analysis and modeling.</li><li>Clean and preprocess data for model training.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Document and present findings.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Knowledge of statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Mentorship from experienced data scientists.</li><li>Health insurance, Paid time off.</li><li>Employee Stock Options</li></ul></p><p><strong>A Day in the Life:</strong> Your day will involve collaborating with team members, working on model development, testing, and refinement, and presenting results.</p>