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Data Analyst, Credit Analytics

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Upstart
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineer
Job Description & How to Apply Below
Position: Staff Data Analyst, Credit Analytics

About Upstart

Upstart is the 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 80% of borrowers are approved instantly, with zero documentation to upload.

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 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 forecasting and oversights, to inform business decisions across market cycles, emerging trends, risk and return trade-offs, among others.

We also take pride in developing our business intelligence tools to empower self-service insight discovery and reporting automation.

As a Staff Analyst at Upstart, you will join our Credit Analytics horizontal team, focusing on line of credit products. You will lead work streams in driving critical insights and decisions concerning credit performance and strategies, and contributing to the long term development in underwriting framework and analytics infrastructure. The credit oversight pillar is building out a best in class data driven credit forum, ensuring continuous feedback loop with product and business roadmaps.

You will be 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.

How you’ll make an impact
  • 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
  • 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 machine learning model, credit, and valuation
  • Lead and develop analytics on underwriting decisions, credit monitoring, model impacts, asset forecast, and valuation modeling 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 forstart analyst community>
  • 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
  • 6+ years in professional experience in technology and financial industries
  • Expertise in credit analytics, decision, and/or quantitative financial model development with Python, R, & SQL
  • Experience in decisioning supported by large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, & Redshift
  • Degree in Economics, Statistics, Engineering, Data Science or other quantitative fields
Preferred qualifications
  • Demonstrated ability to work collaboratively and in deep partnership with cross-functional colleagues especially in Finance, Product, Data Engineering, ML teams
  • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards (e.g., Tableau, Power

    BI, Looker), and to successfully influence and drive C-level decision-making
  • Experience in consumer lending strategy, and/or investment experience in consumer credit capital markets, private…
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