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, we’d love to hear from you!
The Team
Every year, millions of Americans turn to high-cost payday loans to cover short-term cash needs, often paying excessive fees and interest. Upstart’s Small Dollar Loan product offers a fair-priced, non-predatory alternative for those deemed "too risky" by traditional lenders. Operating like a startup within a larger company, our team moves quickly to refine our ML models, automate the customer experience, and scale the business. Since launching in April 2022, we've expanded access to credit for tens of thousands of customers while proving strong unit economics—and we’re just getting started.
As a Staff Analyst at Upstart, you will play a critical role in driving data-driven decision-making for our Small Dollar Loan product. Partnering with Product, Engineering, and Data Science, you’ll uncover insights, shape strategy, and enhance our data infrastructure to optimize product performance. Your work will directly influence Upstart’s continued growth, ensuring our product evolves to better serve customers while scaling efficiently.
How you’ll make an impact
- Lead the development of data-driven strategies to guide the growth and evolution of the Small Dollar Loan product.
- Collaborate with Product and GM to shape product roadmaps and business strategies, ensuring data-driven decisions at every stage.
- Design, build, and maintain analytics frameworks that help measure product performance, user behavior, and loan outcomes.
- Conduct deep-dive analyses and modeling to uncover growth opportunities, optimize loan performance, and enhance risk strategies.
- Define and implement experimentation strategies (A/B testing, causal inference) to improve customer experience and financial outcomes.
- Communicate insights and recommendations effectively to both technical and non-technical stakeholders, influencing product and business decisions.
Minimum Qualifications
- 8+ years of experience in product analytics, data science, or a related quantitative role, preferably in fintech, lending, or consumer finance.
- BS in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
- Strong proficiency in SQL and Python (or R) for data analysis, modeling, and automation.
- Experience with A/B testing, causal inference, and experimental design to drive product decisions.
- Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner.
Preferred Qualifications
- Experience working with lending products, risk modeling, or financial services analytics.
- Understanding of data modeling principles, including designing scalable and efficient analytical models
- Ability to influence product, engineering, and leadership teams through compelling storytelling with data.
- Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems.
Position Location - This role is available in the following locations: Remote
Time Zone Requirements - This team operates on the East/West Coast time zones.
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.
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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 location–with 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 [email protected]
https://www.upstart.com/candidate_privacy_policy
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