<p><strong>What role you will play in team:</strong> Develop and maintain statistical models to assess and manage credit risk within Uber's financial services division.</p><p><strong>What you will do:</strong>  Design, implement, and validate statistical models for various credit risk applications, ensuring accuracy and efficiency.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement statistical models for credit risk assessment.</li><li>Validate and monitor model performance.</li><li>Collaborate with data scientists and engineers to improve model accuracy.</li><li>Prepare reports and presentations on model performance and findings.</li><li>Stay current with advancements in statistical modeling and credit risk management.</li><li>Adhere to regulatory requirements for credit risk modeling.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, or a related field.</li><li>3-5 years of experience in credit risk modeling.</li><li>Proficiency in statistical software (SAS, R, Python).</li><li>Strong understanding of statistical modeling techniques.</li><li>Experience with large datasets and data manipulation.</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 career growth in a dynamic and fast-paced environment.</li><li>Collaborative and innovative work culture.</li><li>Access to cutting-edge technology and resources.</li><li>Employee Stock Options</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves developing and validating statistical models, analyzing data, collaborating with other modelers, and presenting findings to stakeholders. You'll be working on cutting-edge credit risk modeling projects.</p>