Upstart Inc. San Mateo , CA 94401
Posted 2 days ago
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:
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, capital markets
What you'll love:
#LI-REMOTE
#LI-MidSenior
Upstart Inc.