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Staff Data Analyst, Capital Markets

Upstart

$157,000 - $217,500
Aug 15, 2025
Remote, US
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Upstart is looking to solve the problem of enabling access to effortless credit based on true risk, by leveraging AI lending marketplace to expand access to affordable credit and improve approval rates and lower loss rates across races, ages, and genders.

Requirements

  • Hands-on proficiency with advanced SQL techniques
  • Experience with Python or R
  • Expertise in working with large datasets, data modeling, and building robust data pipelines
  • Utilization of tools like Databricks, DBT, Looker, Snowflake, and Redshift to deliver actionable insights
  • Strong background in credit analytics, valuation, and quantitative financial model development
  • Skilled at translating complex business and performance insights into compelling, executive-ready narratives
  • Experience with data visualization tools like Tableau, PowerBI, or Looker

Responsibilities

  • Work closely with Capital Markets and Lending Partnership teams to shape Upstart’s capital strategy
  • Work hand-in-hand with Data Analytics, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics, craft compelling narratives, and develop financial forecasts
  • Drive impactful decisions within Upstart’s credit platform and the investor/lending community by identifying opportunities, evaluating risks, and leveraging deep insights
  • Develop foundational financial models, data pipelines, and automated reporting systems to deliver powerful, dynamic insights and enable strategic decision-making
  • Mentor junior team members while fostering a culture of excellence in data, credit, and analytics
  • Engage directly with capital investors to showcase the strength of Upstart’s platform, build lasting confidence, and craft tailored capital solutions
  • Contribute to the structuring of bespoke capital deals that meet the unique needs of Upstart and its partners

Other

  • 7+ years of professional growth and proven success in the technology and financial sectors
  • Degree in Economics, Statistics, Engineering, Data Science, or other quantitative fields
  • Travel requirements: majority of work can be accomplished remotely within the United States, with occasional in-person collaboration via regular onsites
  • Ability to work in a digital-first company with a remote work setup
  • Strong communication and collaboration skills to work with cross-functional teams