<p><strong>What role you will play in team:</strong> You will be a key member of PayPal's fraud prevention team, working to identify and mitigate financial risks associated with our platform.</p><p><strong>What you will do:</strong> You will analyze transaction data to detect fraudulent activities, develop and implement risk models, and collaborate with cross-functional teams to improve our fraud prevention capabilities.</p><p><strong>Key responsibility:</strong><ul><li>Develop and maintain fraud detection models using machine learning techniques.</li><li>Analyze transaction data to identify suspicious patterns and anomalies.</li><li>Collaborate with engineering teams to integrate fraud detection models into our systems.</li><li>Monitor fraud trends and adapt our models accordingly.</li><li>Prepare reports and presentations on fraud metrics and risk assessments.</li><li>Conduct regular reviews of our fraud prevention strategies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in statistics, mathematics, computer science, or a related field.</li><li>Experience with statistical modeling and machine learning techniques.</li><li>Proficiency in SQL and Python.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves analyzing transaction data, developing and testing fraud detection models, collaborating with colleagues, and presenting findings to stakeholders.</p>