
Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
1001 - 5000 employees
July 28

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
1001 - 5000 employees
• Partner with the Data Analytics vertical teams, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics and narratives, financial forecast, and driving consensus in the state of Upstart platform • Influence Upstart’s credit platform and investor/lending community through informing decisions, opportunities, and risks, while supported by deep understanding and insights on Upstart’s machine learning model, credit, and valuation • Lead and develop analytics on underwriting decisions, credit monitoring, model impacts, asset forecast, and valuation modeling to conduct in-depth analyses on credit data, trends, and anomalies that drive model and product decisions • Develop foundational forecast pipelines, and automated reporting to enable robust and dynamic credit intelligence for Upstart analyst community • Mentor junior team members on best practices and foster a center of excellence on data, credit, and analytics
• 8+ years professional experience with demonstrated growth and leadership in technology and financial industry • Experience in developing credit analytics, financial forecasting, and/or quantitative risk models with Python, R, & SQL • Experience in decisioning supported by large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, & Redshift • Degree in Quantitative Finance/Economics, Statistics, Engineering, Data Science or other quantitative fields
• Target bonuses • Equity compensation • Generous benefits packages (including medical, dental, vision, and 401k)
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