Staff Analyst, HELOC

The Team The Analytics team plays the critical role of providing analytical capability across Upstart's organization to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services, some of which include understanding our underwriting models and presenting on trends in our loan performance, analyzing market size opportunities, creating financial models, developing our business intelligence pipeline to enable self-service reporting, and architecting/automating of work processes. As the Staff Analyst on the Home Analytics team at Upstart, you will be responsible for understanding, presenting, and driving best practices in product analytics and for developing our business intelligence pipeline to enable better decision making. You will partner with our Product, Engineering, and Machine Learning teams to drive understanding, insights and decision making. How you'll make an impact • Develop and execute data-driven strategies to guide the growth and evolution of the HELOC product. • Design, build, and maintain analytics frameworks that help measure product performance, user behavior, and loan outcomes. • Guide the measurement roadmap for product initiatives by collaborating closely with Product Managers. You'll lead the design and execution of robust experimentation strategies, including A/B testing and causal inference, to accurately measure impact and drive data-driven product evolution. • Conduct deep-dive analyses and modeling to uncover growth opportunities, optimize loan performance, and enhance risk strategies. • Communicate insights and recommendations effectively to both technical and non-technical stakeholders, influencing product and business decision. 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) • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.) • Experience with A/B testing, causal inference, and experimental design to drive product decisions. • 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 Preferred Qualifications • Master's / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science) • Experience working with lending products, risk modeling, or financial services analytics • Background in statistical analysis, predictive modeling, or machine learning, with experience applying these to product or financial decision-making Position Location - This role is available in the following locations: Remote, San Mateo, Columbus 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. #LI-REMOTE #LI-MidSenior Apply tot his job