Credit Risk Analyst, North American Underwriter

15 hours, 49 minutes ago
Full-time
Mid Level
Data Science and Analytics
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Work directly with top merchants to evaluate business models and financial statements.
  • Provide tailored credit risk recommendations that balance Stripe’s exposure with merchant growth.
  • Manage a portfolio of large and fast-growing businesses across industries, geographies, and operating models.
  • Deliver insights that inform senior management decisions on onboarding strategies and merchant pricing.
  • Support the refinement of tools and processes to improve team performance against credit loss and portfolio coverage metrics.
  • Partner with internal teams such as Sales, Legal, Treasury, and Finance on credit-related decisions.
  • Work with internal and external partners to support merchants around the world.

Requirements

  • 3+ years of relevant experience in commercial credit underwriting, financial risk modeling, and cash flow forecasting.
  • Bachelor’s degree in Finance, Economics, Statistics, or a related field.
  • Strong knowledge of accounting principles and experience evaluating financial statements and business models across multiple industries.
  • Ability to turn business and financial data into clear narratives about credit risk and mitigation strategies.
  • Strong written, verbal, and analytical skills.
  • High attention to detail and the ability to manage priorities in a fast-paced environment.
  • Comfort interacting with CFOs and CEOs of top merchants.
  • Deep empathy for entrepreneurs and motivation to solve problems that help them succeed.
  • Preferred: strong technical expertise with SQL.
  • Preferred: strong data visualization skills and interest in data analysis.
  • Preferred: experience working in tech or other fast-paced, high-growth environments.

Interested in this position?

Apply directly on the company website

Apply Now

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