<p><b>What role you will play in team:</b>  You'll be part of a team developing fraud detection models, using cutting-edge techniques to protect our customers.</p><p><b>What you will do:</b> You’ll build and deploy models to identify and prevent fraudulent transactions, working with massive datasets.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Work with large-scale datasets and distributed computing frameworks.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Stay up-to-date with the latest advances in machine learning and fraud detection.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a quantitative field (Statistics, Computer Science, etc.).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (e.g., classification, regression).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong analytical and problem-solving skills.</li><li>Knowledge of fraud detection techniques (preferred).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and growth.</li><li>Challenging and impactful work.</li><li>Health insurance and Paid time off</li><li>Employee Stock Options</li></ul></p><p><b>A Day in the Life:</b>  Expect to spend your day building and testing models, analyzing data, collaborating with engineers, and working to prevent financial crimes.</p>