Staff Analyst, Credit Analytics

About Upstart

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Team

The Analytics team at Upstart is at the forefront of AI/ML-driven credit lending across the organization. Our team employs advanced analytical and technical prowess to deliver comprehensive support in Upstart’s lending platform. The Credit Analytics team is building out foundational frameworks and infrastructures on loan performance and forecasting, market cycles and emerging trends, risk and return trade-offs, among others. We also take pride in developing our business intelligence tools to empower self-service reporting and streamlining work processes through automation.

As a Staff Analyst at Upstart, you will join our Credit Analytics horizontal team. You’ll take a leadership stance in driving critical insights and decisions concerning credit performance and strategies, and contributing to the long term development in underwriting framework and analytics infrastructure. Collaborating closely with other Data Analytics, Machine Learning, and Product teams, you will spearhead initiatives that support Upstart’s multi-product growth and extend our market leadership in lending.

Position Location - This role is available in the following locations: Remote; San Mateo, CA

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.

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
• Lead and develop 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 foundational forecast models, data pipelines, and automated reporting to enable robust and dynamic credit intelligence for Upstart analyst community
• 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
• Mentor junior team members on best practices and foster a center of excellence on data, credit, and analytics

What we’re looking for: 

• Minimum qualifications:
  • 8+ years work experience in increasingly senior analytical roles in technology and finance industry
  • Experience in credit analytics, valuation, and/or financial analytics development with python or R, GSheet (AppScript), Excel (VBA), SAS
  • Experience consuming large data sets, data models, and data pipelines, with tools such as Databricks, DBT, Looker, Snowflake, and/or Redshift
  • Degree in Economics, Mathematics, Engineering, Data Science or other quantitative fields
• Preferred qualifications:
  • Experience in coaching and mentoring junior team members on technical subjects
  • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards (e.g., Tableau, PowerBI, Looker), and to successfully influence and drive C-level decision-making
  • Demonstrated ability to work collaboratively and in deep partnership with cross-functional colleagues especially in Finance, Product, Data Engineering, ML teams
  • Experience in consumer lending, and/or knowledge of the consumer finance market, cap