The Team

The Data Analytics team plays the critical role of providing analytical support across Upstart's organization to enable data-driven decision making. We leverage our analytical and technical skills to help 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.

Our team prioritizes having fun first. We value candidates who enjoy actively contributing to conversations. We believe that seeing the human in others allows us to work more cohesively and to safely challenge each other. A happy team is a performing team.

As the Lead Data Analyst, Capital Markets at Upstart, you will be a critical member of Upstart’s analytics team to own credit performance data analysis and reporting by developing reports and building repeatable and scalable data quality audits. Through your efforts, we’ll be able to ensure reporting accuracy and consistency across the company to monitor and report loan performance. You are Upstart’s data ambassador to our current and future investors. If you are naturally curious, have good SQL skills, love data, and can communicate complex concepts with technical and non-technical people, this could be a great opportunity for you.

Position Location - This role is available in the following locations: San Mateo and Remote ^#LI-REMOTE

Time Zone Requirements - This team operates on the West Coast time zone.

Travel Requirements - Once it's safe to do so, this team will have regular on-site collaboration sessions. These occur 1 day per Week, and additional few times a month for important meetings at the San Mateo office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Partner with Capital Markets, Investor Services, Machine Learning, and Engineering teams to collect and analyze loan performance data and contribute to credit analytics and deliver insights.
• Own data reporting process for securitization and investor reporting. Create some level of automation using a framework.
• Lead discussions with external partners to discuss expected securitization performance & historical platform performance.
• Formulate and apply mathematical modeling and other optimizing methods to develop and interpret business information and the key metrics that measure loan performance.
• Create reports and dashboards in BI tools such as Looker. Monitor trends in relevant metrics and report on key insights on a daily basis.
• Proactively identify data quality and integrity issues that affect the accuracy of reporting. Run recurring data audits to ensure accuracy of data systems and business processes.
• Work with various big data platforms, databases and systems such as AWS, Redshift and other big data technologies.
• Participate in data modeling and architecture discussion, influence data products roadmap, and take ownership and responsibility of new projects.
• Work closely with engineering teams to ensure quick turnaround on fixes. Take ownership of communicating changes to the appropriate end-users.
• Work with data service providers to explore APIs, analyze and forecast impact of integrating new data sets. Work with Engineering throughout the entire process of on-boarding new data sets.

What we’re looking for: 

• Minimum requirements:
• BS/MS Degree in Finance, Economics, Accounting, Business Analytics, Financial Engineering, Statistics, Computer Science, Engineering, or other highly quantitative/analytical field
• 5+ years of professional experience in SQL querying and proven ability to work with large and complex data set
• 5+ years of professional experience performing data analytics that influence business decision making
• Knowledge to translate business requirements to Data Warehousing and ETL
• Experience in data analytics tools such as Python or R and creating financial models using tools like Excel and Google Sheets
• Strong communication with client-facing and executive level data presentation skills
• Proven ability to learn quickly, work independently, and adapt to change in a fast-paced environment
• Experienced in project management & documentation
• Organized and able to juggle multiple tasks while still meeting deadlines
• Preferred qualifications:
• Knowledge of statistical methods and machine learning algorithms
• Experience with BI/reporting tools such as Looker, Tableau, or Power BI
• Experience using project management tools such as Jira and Confluence
• Experience in financial modeling of consumer lending products or asset backed securities, and ability to develop and manage financial models independently
• Previous consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product