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.

As the Lead Data Analyst - Accounting at Upstart, you will be a critical member to own fair valuation modeling and reporting automation by building repeatable, scalable, and auditable data pipeline and analytics.

Position Location - This role is available in the following locations: San Mateo

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

Travel Requirements - This team has regular on-site collaboration sessions. These occur 4-5 days per Month 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:

• Own end-to-end modeling, reporting, and automation initiatives for fair value accounting and forecasting activities, and contribute to faster and more scalable reporting cycles. Participate in valuation methodology, data modeling, and architecture discussions, while influencing data products roadmap
• Partner with Accounting, Audit, Product, and Engineering teams to support monthly financial reporting and deliver an accurate, consistent, and efficient data reporting process
• Lead discussions on modeling enhancements, data quality and integrity issues, and drive solutions in improving accuracy of financial reporting and future product changes. Work closely with engineering teams to ensure quick turnaround on fixes
• Create reports and dashboards in BI tools such as Looker. Monitor trends in relevant metrics and report on key insights on a daily basis.
• Work with various big data platforms, databases and systems such as AWS, Redshift and other big data technologies.
• 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 Business Analytics, Financial Engineering, Finance, Economics, Accounting, Engineering, or other highly quantitative/analytical field
• 5 years of professional experience in financial modeling driving insights and business decisions
• 5 years of professional experience in SQL querying, and BI/reporting development with large and complex data set (Looker, Tableau, or Power BI)
• Experience in translating business requirements to Data Warehousing and ETL needs
• Preferred qualifications:
• 7 years experience in data analytics tools such as Python or R and using tools like Excel and Google Sheets
• 7 years of professional experience performing data analytics driving insights and influencing business decision
• Strong communication with client-facing and executive level data presentation skills
• Experienced in project management & documentation, and using tools such as Jira and Confluence
• Experience in cash flow valuation modeling of consumer lending products or asset backed securities, and ability to develop and manage financial models independently
• Knowledge of statistical methods and machine learning algorithms
• Previous consumer marketplace lending industry experience with focus on capital markets, finance, accounting, or product

What you’ll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage
• Personal Development and Technology & Ergonomic Budgets 
• Life insurance and disability benefits 
• Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) 
• Generous vacation policy
• 401(k) and Employee Stock Purchase Plan (ESPP)
• Catered lunches + snacks & drinks

^#LI-REMOTE