<p><strong>What role you will play in team:</strong> You'll be an integral part of a close-knit team working on innovative projects within the Fintech sector. You’ll be responsible for end-to-end model development.</p><p><strong>What you will do:</strong>  You will be working on creating fraud detection algorithms, customer segmentation models and risk assessment techniques. </p><p><strong>Key responsibility:</strong><ul><li>Gather and prepare data for model building.</li><li>Develop and implement machine learning models for fraud detection.</li><li>Build customer segmentation models to personalize customer experiences.</li><li>Develop risk assessment models to evaluate customer creditworthiness.</li><li>Monitor model performance and make adjustments as needed.</li><li>Collaborate with engineers to deploy models to production.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (Statistics, Data Science, etc.).</li><li>2+ years of experience in data science.</li><li>Proficiency in Python and R programming languages.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.</li><li>Strong understanding of statistical modeling and machine learning algorithms.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Comprehensive health insurance, Paid Time Off, and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves collaborating with team members, working on machine learning models, performing data analysis, testing, and model deployment.</p>