Job Description

About Upstart

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, wed love to hear from you!

The Team:

Upstarts 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 Upstarts 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 teams focus is on articulating sound model risk management principles and implementing them in collaboration with our peers on Upstarts 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 Upstarts 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.

How youll make an impact

• Partner with model developers in the Machine Learning team to maintain robust and up-to-date model inventory, model risk assessments, documentation, and monitoring reports. For instance, ensure that documentation is both technically adequate and comprehensible to stakeholders with varying needs and levels of technical sophistication.
• Partner with ML teams to provide effective challenge of Upstarts models and communicate modeling assumptions to external stakeholders.
• Help answer model questions from lending partners, in collaboration with other teams.
• Collaborate with central Upstarts Legal and Compliance teams as needed to ensure our model risk management implementation meets or exceeds Upstarts internal policies as well as regulatory requirements.
• Track team goals and progress. Perform risk assessment for the model risk management program.

Minimum Qualifications

• Masters degree in quantitative field such as finance, mathematics, economics, statistics or a related discipline
• Internship or project experience related to model risk management, model governance, machine learning, or data science.
• Basic understanding of AI/ML methodologies such as tree-based models and neural networks
• Experience coding in R, Python, or similar languages such as Matlab

Preferred Qualifications

• PhD in a quantitative field of study such as statistics, econometrics, finance, mathematics; or a related discipline
• 1+ years of experience in model risk management or model governance, or related fields such as ML and Data Science, Risk, Trust and Safety, or Technical Writing
• Strong communication skills: ability to adapt technical information to varying needs and audiences, and managing trade-offs such as providing modeling detail while protecting intellectual property
• Proactive mindset with the ability to take initiative
• Understanding of advanced AI/ML topics such as model monitoring, fairness, and explainability
• Advanced coding skills in R, Python, and SQL, and experience using Git
• Interest in or knowledge of consumer lending

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic locationwith our digital first philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com

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