<p><strong>What role you will play in team:</strong> Contribute to the prevention of financial fraud within Uber's operations, ensuring the integrity of financial transactions.  Collaborate with a team of data scientists and engineers.</p><p><strong>What you will do:</strong> Use data analysis techniques to identify suspicious activity, develop and implement fraud detection models, and monitor the effectiveness of fraud prevention measures.</p><p><strong>Key responsibility:</strong><ul><li>Analyze large datasets to identify patterns and anomalies indicative of fraud.</li><li>Develop and implement statistical models and algorithms to detect fraudulent transactions.</li><li>Monitor the effectiveness of fraud prevention measures and make recommendations for improvements.</li><li>Collaborate with engineers to integrate fraud detection models into Uber's systems.</li><li>Work closely with legal and compliance teams to ensure adherence to regulations.</li><li>Prepare regular reports and presentations summarizing fraud trends and mitigation efforts.</li><li>Stay current on emerging fraud trends and technologies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in statistics, data science, finance, or a related field.</li><li>1-2 years of experience in fraud detection or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in SQL, Python, or other relevant programming languages.</li><li>Experience with data visualization tools.</li><li>Understanding of financial transactions and payment systems.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on cutting-edge technology.</li><li>Dynamic and fast-paced work environment.</li><li>Opportunities for professional growth and development.</li><li>Comprehensive health insurance coverage.</li></ul></p><p><strong>A Day in the Life:</strong> Your day involves analyzing data, developing and testing models, collaborating with engineers, and reporting findings to stakeholders. The work is fast-paced and requires adapting to evolving threats.</p>