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Staff Analyst, Investor Analytics - Remote

Posted 21 weeks ago
Data Analysis
Full Time
USA
$157,000 - $217,500/year

Overview

As a Staff Data Analyst at Upstart, you will join the Investor Analytics team, responsible for driving understanding, insights, and decision-making related to loan credit and financial performance.

In Short

  • Influence Upstart’s credit platform and investor/lending community.
  • Develop credit monitoring and model performance.
  • Build foundational financial and performance models.
  • Partner with various teams to shape credit metrics.
  • Mentor junior team members.

Requirements

  • 8+ years in analytical roles in technology/financial services.
  • Experience in credit analytics and financial analytics using Python, R, Excel, SAS.
  • Experience with large datasets and data modeling.
  • Ability to craft executive-ready narratives.
  • Degree in Analytics, Data Science, or related field.

Benefits

  • Competitive compensation (base + bonus & equity).
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) with company match.
  • Employee Stock Purchase Plan.
  • Generous leave policies.
  • Wellness and technology reimbursement programs.
Upstart logo

Upstart

Upstart is a pioneering AI lending marketplace that collaborates with banks and credit unions to enhance access to affordable credit. By utilizing its AI-driven platform, Upstart enables financial institutions to achieve higher approval rates and lower loss rates across diverse demographics, while providing a seamless digital-first lending experience. With a significant portion of loans approved instantly and fully automated, Upstart is committed to its mission of facilitating effortless credit access based on true risk assessment. The company operates primarily in a remote capacity, allowing employees to work from anywhere in the U.S., while also maintaining offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Upstart values diversity and inclusion, striving to improve credit access for underrepresented communities.

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