Staff Analyst, Auto

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 Auto Analytics team, you will be responsible for understanding, presenting, and driving best practices in pricing and credit performance and for developing our business intelligence pipeline to enable better decision making. You will partner with our Product, Capital Markets, Lending Partnerships, Machine Learning, and Finance teams to help shape the narrative and deepen our expertise in understanding of pricing, performance, and the ultimate profitability of our Auto products.

How you'll make an impact

• 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 pricing and credit monitoring, model performance, and valuation analytics to conduct in-depth analyses on credit data, trends, and anomalies that drive model and product decisions

• Build data and analytical foundation for pricing and credit analytics, including data pipelines and automated reporting to enable robust and dynamic pricing and credit intelligence

• Partner with Product, Capital Markets, Lending Partnerships, Engineering, Machine Learning, and Finance teams to shape credit and pricing metrics and narratives, financial forecast, and driving consensus in the state of Upstart platform

• Mentor junior team members on best practices and foster a center of excellence on data, analytics,and pricing

Minimum Qualifications

• 6-8+ years work experience in increasingly senior analytical roles in technology and finance industry

• Experience in credit or financial analytics, proficient in with Python / R, GSheet / Excel, SQL

• Experience working with large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode

• Experience deriving actionable insights from analysis and analytical storytelling

• Degree in Economics, Mathematics, Engineering, Data Science or other quantitative fields

Preferred Qualifications

• Strong experience in credit and/or pricing analytics

• Experience in coaching and mentoring junior team members on technical subjects

• Demonstrated ability to craft executive-ready narratives around complex business or performance topics to successfully influence VP+ decision making

• Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams

• Experience in consumer lending and/or knowledge of the consumer finance market and capital markets

Position location This role is available in the following locations: Remote

Time zone requirements The 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.