Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you! The Team: Upstart’s ML Model Risk team is responsible for ensuring that the risk of machine learning (ML) models at Upstart is well-understood, monitored, and mitigated, which requires deep understanding of the models themselves. This work is essential for Upstart’s internal risk management, ensuring that our models help us make better decisions, and to maintain credibility with external stakeholders such as our lending partners and regulators. The team’s focus is on articulating sound model risk management principles and implementing them in collaboration with our peers on Upstart’s Risk and Machine Learning teams. This work also includes explaining our ML models to stakeholders, supporting external validations, and conducting analyses to reinforce our goals. As an ML Model Risk Specialist at Upstart, you will contribute to the implementation of Upstart’s model risk management program. This work includes collaborating with our Machine Learning teams to meet model risk management requirements, with tasks ranging from producing robust model documentation, assisting with monitoring and validation efforts, and partnering with other Upstart stakeholders to understand model risk management needs across the enterprise.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Career Level
Entry Level
Education Level
Master's degree
Number of Employees
1,001-5,000 employees