Stripe

Stripe

Posted via Greenhouse

Credit Risk Strategy and Analytics

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
United States Canada
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience in credit analysis and underwriting.
Education
Bachelor's degree in finance, economics, statistics, or a related field.

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Role Summary

AI-generated

The Capital team manages the end-to-end risk strategy for Stripe's lending product. This role shapes Stripe's credit policy and underwriting framework by using proprietary and third-party data to evaluate and manage credit risk across products, geographies, and industries.

What You'll Do

  • Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital...
  • Utilize analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions.
  • Collaborate with Product, Data Science, Engineering, and Capital Markets teams to shape new product development.
  • Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into credit assessment.
  • Analyze account activity and monitor portfolio trends to identify opportunities to reduce potential credit losses.
  • Work with partners to design and optimize outsourced workflows to scale risk processes.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

5+ years of experience in credit analysis and underwriting; experience in risk management, financial lending, or core credit risk management; strong analytical skills; experience with internal and external stakeholders; technical expertise including SQL, excel, and google sheets; ability to work independently.

Required

  • 5+ years of experience in credit analysis and underwriting
  • Bachelor's degree in finance, economics, statistics, or a related field
  • Experience in risk management, financial lending, or core credit risk management function
  • Strong analytical skills and a rigorous, data-driven approach to problem-solving
  • Experience working with both internal and external stakeholders
  • Strong technical expertise, including SQL, excel, google sheets
  • Self-starter who can work independently

Preferred

  • Experience with quantitative tools such as Python, R, or Stata.
  • Master's degree in finance, economics, statistics, or a related field.
  • Superior communication and relationship management skills.
  • Experience with credit scoring models.
  • Experience working with machine learning teams.
  • Ability to communicate results clearly with a focus on driving impact.

Original job description

Content provided by the employer

Who we are 

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply.

What you’ll do

As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives.

Responsibilities

  • Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products.
  • Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions.
  • Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries.
  • Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment.
  • Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses.
  • Help scale risk processes by working with partners to design and optimize outsourced workflows.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • 5+ years of experience in credit analysis and underwriting.
  • Bachelor's degree in finance, economics, statistics, or a related field.
  • Experience in risk management, financial lending, or core credit risk management function.
  • Strong analytical skills and a rigorous, data-driven approach to problem-solving.
  • Experience working with both internal and external stakeholders and the ability to closely. manage expectations and deliverables in a timely manner.
  • Ability to thrive in an unstructured and fast-moving organization.
  • Strong technical expertise, including SQL, excel, google sheets.
  • Self-starter who can work independently.

Preferred qualifications

  • Experience with quantitative tools such as Python, R, or Stata.
  • Master's degree in finance, economics, statistics, or a related field.
  • Superior communication and relationship management skills.
  • Experience with credit scoring models.
  • Experience working with machine learning teams.
  • Ability to communicate results clearly with a focus on driving impact.
Stripe

About the company

Stripe

Large Enterprise

Stripe is a leading financial technology company that provides a robust platform for online payment processing and ecommerce solutions. Founded in 2010, Stripe enables businesses of all sizes to accept payments, send payouts, and manage their online transactions seamlessly. With a focus on innovation and user experience, Stripe offers a range of APIs and tools that empower developers to integrate payment functionality quickly and efficiently. Trusted by millions of businesses worldwide, Stripe continues to shape the future of online commerce and financial services.