Credit Risk Strategist, Capital

    • Stripe
  • Posted 60+ days ago | Updated 3 hours ago

Overview

On Site
Full Time

Skills

Strategist
Startups
Payments
GDP
Internet
Strategy
Lean methodology
Policies
Data Science
Capital market
Product development
Financial statements
Design
Workflow
Credit analysis
Underwriting
SQL
Microsoft Excel
Risk management
Credit risk
Analytical skill
Data
Problem solving
Management
Python
R
Stata
Finance
Economics
Statistics
Communication
Relationship management
Machine Learning (ML)
Collaboration

Job Details

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 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
  • 4+ years of experience in credit analysis and underwriting.
  • Strong technical expertise, including SQL, excel, google sheets.
  • 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.
  • Bachelor's degree in finance, economics, statistics, or a related field.
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.

Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
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