Staff Analyst, Upstart

• 8+ years work experience in increasingly senior analytical roles in technology and/or financial services industries
• Experience in credit analytics, business analytics, valuations, and/or financial analytics using Python, R, GSheet (AppScript), Excel (VBA), SAS
• Experience working with large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Redshift, Snowflake, Tableau; Experience deriving actionable insights from analysis and analytical storytelling
• Ability to craft executive-ready narratives and presentations around complex business or performance topics and successfully influence C-level decision making
• Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field

Desirable

• The Investor 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
• This includes understanding our underwriting models, 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 a Staff Data Analyst at Upstart, you will join our Investor Analytics team
• You’ll be responsible for driving understanding, insights and decision making relating to our loan credit and financial performance
• You’ll partner with our Capital Markets and Lending Partnership teams to help investors, banks, and credit unions to take advantage of our unique technology to achieve their business goals
• 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
• 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 model, credit, and valuation
• Develop credit monitoring and model performance to conduct in-depth analysis on credit data, trends, and anomalies that drive model and product decisions
• Build foundational financial and performance models, data pipelines, and automated reporting to enable robust and dynamic credit intelligence
• Partner with Capital Markets, Lending Partnership, Data Engineering, Machine Learning, Finance, and other Analytics teams to shape credit metrics and narratives, drive consensus on the state of Upstart platform, and deepen investor/lending partner confidence to invest in our platform
• Mentor junior team members and foster a center of excellence on data, credit, and analytics