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Data Analyst, Capital Markets

Wiraa

Salary not specified
Oct 25, 2025
Remote, US
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Upstart is looking to shape its capital strategy by delivering critical analytical insights and technical expertise to demonstrate the strength of its AI-powered lending platform to institutional capital providers, develop tailored capital solutions, and foster long-term relationships.

Requirements

  • Proficiency with advanced SQL techniques and experience with Python or R
  • Hands-on experience working with large datasets, data modeling, and building robust data pipelines
  • Familiarity with tools such as Databricks, DBT, Looker, Snowflake, and Redshift
  • Experience translating complex data insights into compelling narratives using visualization tools like Tableau, PowerBI, or Looker
  • Strong background in credit analytics, valuation, and quantitative financial modeling
  • Extensive knowledge of consumer lending strategies, capital markets, private credit, or structured products (preferred)

Responsibilities

  • Develop and refine financial models, data pipelines, and automated reporting systems to support strategic initiatives
  • Analyze loan credit performance, financial metrics, and market trends to inform decision-making
  • Create compelling data visualizations and narratives for executive-level presentations and strategic discussions
  • Identify opportunities, evaluate risks, and provide insights to optimize capital deployment and lending strategies
  • Partner with Data Analytics, Machine Learning, Product, Engineering, and Finance teams to align on credit metrics and platform development
  • Collaborate with Capital Markets and Lending Partnership teams to shape and execute Upstart’s capital strategy
  • Engage directly with institutional capital investors to showcase platform strengths and build confidence

Other

  • 7+ years of professional experience in technology and financial sectors, demonstrating growth and success
  • Exceptional ability to build cross-functional partnerships with Finance, Product, Data Engineering, and Machine Learning teams
  • Mentor junior team members, fostering a culture of analytical excellence and innovation
  • Flexible remote work options within the United States, with periodic in-person team sessions